{"title":"Deep Robotics","description":"","products":[{"product_id":"deep-robotics-lite3-basic","title":"Deep Robotics Lite3 Basic","description":"\u003c!-- PRODUCT: Deep Robotics Lite3 Basic --\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDeep Robotics Lite3 Basic\u003c\/h2\u003e\n\u003cdiv style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333;\"\u003e\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cp\u003eThe Deep Robotics Lite3 Basic is an entry-level quadruped robot platform designed to make legged locomotion research and education accessible to a broad audience. Built on Deep Robotics' proven Lite3 hardware architecture, it delivers 12 degrees of freedom across four articulated legs, a reinforcement-learning-trained gait system, and 50% more joint torque than the previous generation. Weighing just 12 kg with a 5 kg continuous payload capacity, the Lite3 Basic provides a genuinely capable quadruped platform for universities, research labs, and robotics enthusiasts exploring the mechanics and control theory behind dynamic legged movement.\u003c\/p\u003e\n\u003cp\u003eThe RK3588 ARM-architecture motion host processor delivers a 1 kHz control loop, enabling the responsive real-time performance required for dynamic gaits including walking, trotting, bounding, jumping, and front flips with automatic self-recovery. The platform supports both ROS1 (Noetic) and ROS2 (Foxy) with built-in switching scripts, and provides full SDK and API access for secondary development. This open development ecosystem, backed by a growing community and extensive documentation, significantly reduces the barrier to entry for teams new to quadruped robotics.\u003c\/p\u003e\n\u003cp\u003eWith a top speed of 4 m\/s, 40-degree slope climbing capability, and 15 cm stair navigation, the Lite3 Basic handles real-world terrain that challenges many competing platforms at this price point. The hot-swappable battery system delivers 1.5 to 2 hours of continuous operation with a 5 km maximum range, and the modular architecture supports future expansion with additional sensors and compute modules as research requirements evolve.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 400px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Basic quadruped robot\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773873637960-d5d82ce0-b571-413b-aca1-4f30b9a17d15.png\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 1; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 Basic technical specifications diagram\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773876380814-a80baa94-1d39-494f-990d-7e3d87591613.png\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 610 × 370 × 406 mm (Standing)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWeight:\u003c\/strong\u003e 12 kg (including battery)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePayload Capacity:\u003c\/strong\u003e 5 kg continuous; 7.5 kg maximum\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Endurance:\u003c\/strong\u003e 1.5–2 hours continuous operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Range:\u003c\/strong\u003e 5 km maximum\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMax Speed:\u003c\/strong\u003e 4 m\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSlope Climbing:\u003c\/strong\u003e Up to 40°\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStair Climbing:\u003c\/strong\u003e 15 cm continuous steps\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotion Host Processor:\u003c\/strong\u003e RK3588 ARM-architecture processor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl Frequency:\u003c\/strong\u003e Up to 1 kHz\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJoint Torque:\u003c\/strong\u003e 50% higher than previous generation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommunication:\u003c\/strong\u003e Wireless remote control via UDP gamepad interface\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating System Support:\u003c\/strong\u003e Ubuntu 20.04 compatible\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Frameworks:\u003c\/strong\u003e ROS1 (Noetic) and ROS2 (Foxy)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDevelopment Access:\u003c\/strong\u003e Open SDK and API access\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eActuator Type:\u003c\/strong\u003e Custom brushless servo motors with integrated encoders and harmonic reducers\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIMU Sensor:\u003c\/strong\u003e 9-axis inertial measurement unit for real-time orientation and acceleration sensing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Time:\u003c\/strong\u003e Approximately 1.5 hours from depleted to full charge via provided adapter\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDegrees of Freedom:\u003c\/strong\u003e 12 total (3 per leg) providing full quadruped locomotion capability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGait Modes:\u003c\/strong\u003e Walk, trot, bound, and custom gait configurations via SDK\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBody Material:\u003c\/strong\u003e High-strength composite chassis with impact-resistant polymer panels\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIP Rating:\u003c\/strong\u003e Splash-resistant design suitable for light outdoor use\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAudio Feedback:\u003c\/strong\u003e Onboard speaker for status alerts and diagnostic audio cues\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnhanced Joint Torque:\u003c\/strong\u003e 50% increased drive torque with excellent torque density for rapid responsiveness\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Motion Algorithms:\u003c\/strong\u003e Precise control algorithm enables effortless slope climbing and stair navigation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Terrain Capability:\u003c\/strong\u003e Handles slopes to 40° and 15 cm continuous stairs with ease\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtended Battery Life:\u003c\/strong\u003e 1.5–2 hours continuous operation on single charge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh Response Bandwidth:\u003c\/strong\u003e Faster reaction time for dynamic movement control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSecondary Development Support:\u003c\/strong\u003e Full SDK\/API access for custom applications and research\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple ROS Support:\u003c\/strong\u003e Compatible with both ROS1 and ROS2 via built-in switching scripts\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComplex Motion Capabilities:\u003c\/strong\u003e Supports jumps, dancing, front flips, and automatic recovery\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobust Payload Support:\u003c\/strong\u003e 5 kg continuous load with 7.5 kg maximum capacity\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpen Development Ecosystem:\u003c\/strong\u003e Large community support and readily available development resources\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEducational Focus:\u003c\/strong\u003e Ideal platform for robotics education and learning quadruped mechanics\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact Design:\u003c\/strong\u003e Lightweight construction for easy portability and indoor\/outdoor use\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReal-Time Control:\u003c\/strong\u003e 1 kHz control frequency ensures smooth, responsive movement\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular Expandable Architecture:\u003c\/strong\u003e Support for future sensor and processor module additions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e12-DOF Articulation:\u003c\/strong\u003e Three joints per leg provide natural quadruped kinematics with full range of motion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutomatic Self-Recovery:\u003c\/strong\u003e Falls trigger autonomous righting algorithms that return the robot to standing position\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWireless Gamepad Control:\u003c\/strong\u003e Included UDP-based gamepad provides intuitive manual control out of the box\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHot-Swappable Battery:\u003c\/strong\u003e Quick-release battery mechanism enables field replacement without tools\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegrated IMU:\u003c\/strong\u003e 9-axis inertial sensing provides real-time balance and orientation feedback for stable locomotion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLightweight Portability:\u003c\/strong\u003e 12 kg total weight enables single-person transport and rapid deployment anywhere\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 2; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 Basic performing dynamic movement\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776124368061-80ac9c46-fc08-443f-9efe-7755dafb24c6.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 1;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Basic applications\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776124392097-d1de706a-8425-4a10-bd76-3503720b76b6.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cp\u003eThe Lite3 Basic serves as an accessible entry point for robotics research institutions, university engineering departments, and corporate R\u0026amp;D teams exploring legged locomotion. Its reinforcement-learning-trained gait system provides a production-ready platform for studying adaptive movement, terrain response, and quadruped dynamics without the cost and complexity of building custom hardware. Educators use the Lite3 Basic to demonstrate real-time control theory, sensor fusion, and autonomous decision-making in undergraduate and graduate robotics curricula.\u003c\/p\u003e\n\u003cp\u003eBeyond academic settings, the Lite3 Basic finds application in proof-of-concept demonstrations for commercial robotics ventures, trade show exhibits showcasing legged mobility, and hobbyist projects pushing the boundaries of consumer-grade quadruped capability. Its ROS2 compatibility and open SDK make it suitable for developing custom inspection routines, autonomous patrol behaviors, and multi-robot coordination algorithms that transfer directly to larger industrial platforms.\u003c\/p\u003e\n\u003cp\u003eThe open SDK and community resources lower the learning curve for new developers, with pre-built ROS packages, locomotion examples, and gait configuration tools available through the Deep Robotics GitHub repositories. Competition teams use the Lite3 Basic as their hardware platform for robotics challenges involving terrain traversal, autonomous navigation, and multi-robot coordination tasks.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eSetup and Getting Started\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eEstimated Setup Time:\u003c\/strong\u003e\u003cspan\u003e 30 to 45 minutes for unboxing, charging, and initial operation.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 1 - Unbox and Inspect:\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003eVerify all components: Lite3 Basic robot unit, 28.8V\/4.4Ah lithium-ion battery, AC charger, wireless gamepad controller, and documentation.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 2 - Charge the Battery:\u003c\/strong\u003e\u003cspan\u003e Charge the battery fully (40 to 60 minutes). The battery provides 1.5 to 2 hours of continuous use and supports a 5 km maximum range per charge.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 3 - Power On:\u003c\/strong\u003e\u003cspan\u003e Insert the battery, place the robot on flat ground with at least 6 feet of clearance, and power on. Allow 60 seconds for boot-up. The RK3588 processor runs the control loop at 1 kHz.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 4 - Controller Operation:\u003c\/strong\u003e\u003cspan\u003e The wireless gamepad controller auto-pairs on power-up. Use it for manual locomotion control including walking, trotting, and stance adjustments.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 5 - App Connection:\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003eDownload the DEEP Robotics app (Android 6.0+), connect to the robot's WiFi, and explore control modes and sensor readouts.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 6 - Test and Explore:\u003c\/strong\u003e\u003cspan\u003e The Lite3 Basic delivers 50% more joint torque than the prior generation, handles 40-degree slopes, and climbs 15 cm stairs. No perception sensors are included; mount your own cameras or LiDAR via the M5 threaded mounting points on the back deck.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\u003cspan\u003e\u003cb id=\"docs-internal-guid-fd9bfa36-7fff-87d6-10ea-3ae5d1cf3c4b\"\u003eDeveloper Access: \u003c\/b\u003eFull SDK support: C++ SDK, Python SDK, ROS1 (Noetic), ROS2 (Humble). Open SDK and community resources available via Deep Robotics GitHub.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Basic setup and getting started\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776124417575-c20d52fb-d733-449f-8876-3b3d5bd6a1d1.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cul style=\"list-style-type: none; padding-left: 0; margin-left: 0;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot Unit:\u003c\/strong\u003e Deep Robotics Lite3 Basic quadruped robot with pre-installed firmware\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Pack:\u003c\/strong\u003e Rechargeable lithium battery with integrated charge management\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharger:\u003c\/strong\u003e AC power adapter with regional plug compatibility\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocumentation:\u003c\/strong\u003e Quick start guide, safety manual, and SDK reference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Access:\u003c\/strong\u003e Development SDK and ROS2 package access credentials\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommunity Access:\u003c\/strong\u003e Deep Robotics developer community and forum registration\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eDocumentation and Resources\u003c\/h3\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eLite3 AI User Manual (PDF):\u003c\/strong\u003e \u003ca href=\"https:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\"\u003ehttps:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\u003c\/a\u003e \u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep Robotics GitHub Organization:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLite3 Motion SDK:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDk\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDk\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLite3 ROS Package:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWarranty Information\u003c\/h3\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis product is covered by a 12-Month Limited Warranty. The warranty covers defects in materials and workmanship under normal use.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eCovered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eDeep Robotics Lite3 Basic: 12-Month (1-Year) Full-Unit Warranty\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eCore Components (battery, joints): 6-Month Warranty\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eNot Covered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from misuse, negligence, or unauthorized modification\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Normal wear and tear on consumable components\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from use outside recommended operating conditions\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Unauthorized repairs or disassembly\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAll warranty claims require valid proof of purchase.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Deep Robotics","offers":[{"title":"Default Title","offer_id":43884237291608,"sku":"L3-100-00-01","price":2890.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/deep-robotics-lite3-basic-quadruped-robot-industrial-inspection-research.webp?v=1773796049"},{"product_id":"deep-robotics-lite3-basic-copy","title":"Deep Robotics Lite3 Basic AI","description":"\u003c!-- PRODUCT: Deep Robotics Lite3 Basic AI --\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDeep Robotics Lite3 Basic AI\u003c\/h2\u003e\n\u003cdiv style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333;\"\u003e\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cp\u003eThe Deep Robotics Lite3 Basic AI extends the proven Lite3 Basic platform with integrated artificial intelligence capabilities, adding an Intel RealSense depth camera and NVIDIA Jetson GPU computing module to the base quadruped hardware. This combination transforms the platform from a locomotion research tool into a complete autonomous robotics development system capable of real-time perception, obstacle avoidance, and AI-driven navigation. The AI-optimized locomotion gaits, trained through advanced reinforcement learning, deliver noticeably superior stability and terrain adaptability compared to conventional control approaches.\u003c\/p\u003e\n\u003cp\u003eThe reinforcement learning pipeline is a core differentiator. Using the official Lite3_rl_deploy GitHub repository, developers can train custom locomotion policies in simulation using PyTorch or TensorFlow, then deploy them directly to hardware through a streamlined sim-to-real transfer process. This capability makes the Lite3 Basic AI particularly valuable for graduate-level research in embodied AI, where the ability to iterate rapidly between simulated and physical experiments is essential for productive research outcomes.\u003c\/p\u003e\n\u003cp\u003eHardware specifications match the standard Lite3 platform: 12 kg total weight, 5 kg continuous payload, 4 m\/s top speed, 40-degree slope climbing, 15 cm stair capability, and 1.5 to 2 hours of battery life. The onboard GPU provides sufficient compute for running perception neural networks, SLAM algorithms, and control policies simultaneously, eliminating the need for external computing infrastructure during field experiments and demonstrations.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 400px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Basic AI quadruped robot with AI capabilities\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773873637960-d5d82ce0-b571-413b-aca1-4f30b9a17d15.png\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 1; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 Basic AI AI enhancement architecture\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773876380814-a80baa94-1d39-494f-990d-7e3d87591613.png\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 610 × 370 × 406 mm (Standing)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWeight:\u003c\/strong\u003e 12 kg (including battery)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePayload Capacity:\u003c\/strong\u003e 5 kg continuous; 7.5 kg maximum\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Endurance:\u003c\/strong\u003e 1.5–2 hours continuous operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Range:\u003c\/strong\u003e 5 km maximum\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMax Speed:\u003c\/strong\u003e 4 m\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSlope Climbing:\u003c\/strong\u003e Up to 40°\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStair Climbing:\u003c\/strong\u003e 15 cm continuous steps\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotion Host Processor:\u003c\/strong\u003e RK3588 ARM-architecture processor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl Frequency:\u003c\/strong\u003e Up to 1 kHz\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJoint Torque:\u003c\/strong\u003e 50% higher than previous generation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Gait Optimization:\u003c\/strong\u003e Reinforcement learning-trained locomotion policies\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRL Framework Support:\u003c\/strong\u003e PyTorch and TensorFlow compatible\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReinforcement Learning Deployment:\u003c\/strong\u003e Lite3_rl_deploy GitHub repository with examples\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating System Support:\u003c\/strong\u003e Ubuntu 20.04 compatible\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Frameworks:\u003c\/strong\u003e ROS1 (Noetic) and ROS2 (Foxy)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDevelopment Access:\u003c\/strong\u003e Full open SDK and API access\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommunication:\u003c\/strong\u003e Wireless remote control with advanced feedback\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpgrade from Basic:\u003c\/strong\u003e Includes AI-optimized motion algorithms and RL training environment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth Camera:\u003c\/strong\u003e Intel RealSense stereo depth camera for 3D environment perception\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Compute Module:\u003c\/strong\u003e NVIDIA Jetson-series GPU for onboard neural network inference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDegrees of Freedom:\u003c\/strong\u003e 12 total (3 per leg) providing full quadruped locomotion capability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIMU Sensor:\u003c\/strong\u003e 9-axis inertial measurement unit for real-time orientation and acceleration data\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Time:\u003c\/strong\u003e Approximately 1.5 hours from depleted to full charge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBody Material:\u003c\/strong\u003e High-strength composite chassis with impact-resistant polymer panels\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI-Optimized Motion:\u003c\/strong\u003e Locomotion gaits trained through advanced reinforcement learning for superior stability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnhanced Adaptability:\u003c\/strong\u003e AI algorithms dynamically adjust gait patterns for varying terrain conditions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReinforcement Learning Environment:\u003c\/strong\u003e Integrated support for training custom policies via Lite3_rl_deploy\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSimulation-to-Real (Sim-to-Real) Pipeline:\u003c\/strong\u003e Train policies in simulation and deploy directly to hardware\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eImproved Stability:\u003c\/strong\u003e RL-based optimization provides enhanced balance and responsiveness\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Framework Support:\u003c\/strong\u003e Compatible with PyTorch and TensorFlow for AI development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e50% Increased Joint Torque:\u003c\/strong\u003e More powerful actuators enable aggressive maneuvers\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtended Battery Life:\u003c\/strong\u003e 1.5–2 hours continuous operation per charge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1 kHz Control Loop:\u003c\/strong\u003e Real-time responsiveness for dynamic movement execution\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSecondary Development Framework:\u003c\/strong\u003e Comprehensive SDK for implementing custom AI applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGitHub Repository Support:\u003c\/strong\u003e Official examples and tools for RL development pipeline\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS1 and ROS2 Compatibility:\u003c\/strong\u003e Seamless integration with both robotics operating systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Motion Capabilities:\u003c\/strong\u003e Supports jumps, flips, and complex dynamic movements\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResearch-Grade Platform:\u003c\/strong\u003e Purpose-built for academic AI and robotics research\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobust Terrain Handling:\u003c\/strong\u003e AI-enhanced algorithms master slopes, stairs, and irregular terrain\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOnboard Depth Perception:\u003c\/strong\u003e Intel RealSense camera provides real-time 3D environment mapping without external processing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU-Accelerated Inference:\u003c\/strong\u003e NVIDIA Jetson module runs neural networks locally for autonomous decision-making\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutomatic Self-Recovery:\u003c\/strong\u003e AI-enhanced righting algorithms return the robot to standing after falls\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHot-Swappable Battery:\u003c\/strong\u003e Quick-release battery mechanism enables field replacement without tools\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVisual Obstacle Avoidance:\u003c\/strong\u003e Depth camera data feeds real-time obstacle detection and path replanning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLightweight Portability:\u003c\/strong\u003e 12 kg total weight enables single-person transport and rapid field deployment\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 2; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 Basic AI demonstrating advanced movement control\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776124368061-80ac9c46-fc08-443f-9efe-7755dafb24c6.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 1;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Basic AI applications\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776124392097-d1de706a-8425-4a10-bd76-3503720b76b6.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cp\u003eThe Lite3 Basic AI targets advanced research groups and development teams working at the intersection of computer vision, autonomous navigation, and legged robotics. Its integrated Intel RealSense depth camera and NVIDIA Jetson computing module provide the hardware foundation for developing and testing perception-driven locomotion algorithms, SLAM implementations, and obstacle avoidance strategies in real-world environments. Universities leverage this platform for graduate-level research in embodied AI, while corporate labs use it for prototyping autonomous inspection and monitoring solutions.\u003c\/p\u003e\n\u003cp\u003eField applications include indoor facility inspection where the robot autonomously maps environments and identifies anomalies, outdoor terrain survey missions requiring visual obstacle classification, and security patrol scenarios that demand real-time environmental awareness. The platform also serves as a development testbed for startups building commercial quadruped applications, enabling rapid iteration on perception algorithms before deploying to larger, more expensive industrial platforms.\u003c\/p\u003e\n\u003cp\u003eThe integrated sim-to-real pipeline accelerates research publication timelines by enabling rapid iteration between simulation experiments and physical validation. Teams working on reinforcement learning for locomotion, visual navigation, and multi-modal perception find the Lite3 Basic AI provides sufficient compute and sensor capability to produce publishable results without the cost and complexity of custom-built research hardware.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eSetup and Getting Started\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eEstimated Setup Time:\u003c\/strong\u003e\u003cspan\u003e 30 to 45 minutes for unboxing, battery charging, and first walk test.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 1 - Unbox and Inspect:\u003c\/strong\u003e\u003cspan\u003e Remove the Lite3 Basic AI from packaging. Verify all components: robot unit, 28.8V\/4.4Ah lithium-ion battery, AC charger, wireless gamepad controller, and documentation.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 2 - Charge the Battery:\u003c\/strong\u003e\u003cspan\u003e Fully charge the battery using the included charger (approximately 40 to 60 minutes). The hot-swappable battery provides 1.5 to 2 hours of runtime.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 3 - Insert Battery and Power On:\u003c\/strong\u003e\u003cspan\u003e Install the charged battery and place the robot on a flat, open surface with ample clearance. Power on and wait approximately 60 seconds for the system to boot.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 4 - Controller Setup:\u003c\/strong\u003e\u003cspan\u003e Power on the wireless gamepad controller; it pairs automatically. The Basic AI variant uses reinforcement-learning-trained gaits for enhanced stability and adaptability across varied terrain.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 5 - Install the Companion App:\u003c\/strong\u003e\u003cspan\u003e Download the DEEP Robotics app (Android 6.0 or later). Connect to the robot's WiFi network for additional control options and telemetry monitoring.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 6 - Test Locomotion:\u003c\/strong\u003e\u003cspan\u003e Walk the robot across different surfaces to experience the RL-enhanced gaits. The Basic AI model does not include perception sensors or an onboard AI computer; external cameras or LiDAR can be added via the mounting points if desired.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\u003cspan\u003e\u003cb id=\"docs-internal-guid-ea9b1b20-7fff-127a-4aba-cb0fa1842598\"\u003eDeveloper Access: \u003c\/b\u003eC++ SDK, Python SDK, and ROS1\/ROS2 compatibility are available for custom application development.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Basic AI setup and getting started\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776124417575-c20d52fb-d733-449f-8876-3b3d5bd6a1d1.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cul style=\"list-style-type: none; padding-left: 0; margin-left: 0;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot Unit:\u003c\/strong\u003e Deep Robotics Lite3 Basic AI quadruped with pre-integrated AI computing module\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth Camera:\u003c\/strong\u003e Intel RealSense depth camera module factory-mounted and calibrated\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputing Module:\u003c\/strong\u003e NVIDIA Jetson computing unit pre-installed with development environment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Pack:\u003c\/strong\u003e Rechargeable lithium battery with charge management circuitry\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharger:\u003c\/strong\u003e AC power adapter for battery charging\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocumentation:\u003c\/strong\u003e Quick start guide, AI module reference, and SDK documentation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Access:\u003c\/strong\u003e Deep Robotics SDK, ROS2 packages, and sample AI applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommunity Access:\u003c\/strong\u003e Developer forum and research community registration\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eDocumentation and Resources\u003c\/h3\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eLite3 AI User Manual (PDF):\u003c\/strong\u003e \u003ca href=\"https:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\"\u003ehttps:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep Robotics GitHub Organization:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 Motion SDK:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 ROS Package:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eWarranty Information\u003c\/h3\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis product is covered by a 12-Month Limited Warranty. The warranty covers defects in materials and workmanship under normal use.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eCovered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eDeep Robotics Lite3 Basic AI: 12-Month (1-Year) Full-Unit Warranty\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eCore Components (battery, joints): 6-Month Warranty\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eNot Covered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from misuse, negligence, or unauthorized modification\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Normal wear and tear on consumable components\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from use outside recommended operating conditions\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Unauthorized repairs or disassembly\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAll warranty claims require valid proof of purchase.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Deep Robotics","offers":[{"title":"Default Title","offer_id":43884277465176,"sku":"L3-110-01-02","price":4968.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/deep-robotics-lite3-basic-quadruped-robot-industrial-inspection-research.webp?v=1773796049"},{"product_id":"deep-robotics-lite3-basic-ai-copy","title":"Deep Robotics Lite3 Venture","description":"\u003c!-- PRODUCT: Deep Robotics Lite3 Venture --\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDeep Robotics Lite3 Venture\u003c\/h2\u003e\n\u003cdiv style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333;\"\u003e\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cp\u003eThe Deep Robotics Lite3 Venture occupies the mid-tier position in the Lite3 product line, bridging the gap between the entry-level Basic models and the professional-grade Pro and LiDAR configurations. With IP54 weather protection, 4G LTE cellular connectivity, 7 kg continuous payload capacity, and up to 2 hours of battery life, the Venture is engineered for real-world deployment scenarios where the robot must operate reliably in outdoor environments over extended periods without constant human supervision.\u003c\/p\u003e\n\u003cp\u003eThe 4G LTE connectivity is a defining feature, enabling remote monitoring and control from command centers when the robot operates beyond WiFi range. Combined with the Deep Robotics cloud platform for fleet management, organizations can deploy multiple Venture units across distributed locations and monitor their status, route progress, and sensor data through a unified web-based dashboard. This infrastructure makes the Venture practical for commercial applications including autonomous building inspection, perimeter patrol, environmental monitoring, and agricultural field assessment.\u003c\/p\u003e\n\u003cp\u003eThe modular architecture supports optional addition of an NVIDIA Jetson Xavier NX perception host, enabling upgrade paths toward Pro-level AI capability or LiDAR-class navigation without replacing the base platform. The RK3588 motion host delivers the same 1 kHz control loop and ROS1\/ROS2 compatibility as other Lite3 models, maintaining full SDK and API access for custom development. At 12.2 to 13.5 kg depending on configuration, with 4 m\/s top speed and 4 km operating range, the Venture provides the performance, durability, and connectivity required for transitioning from laboratory research to production field operations.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 400px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Venture quadruped robot for field deployment\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773878213156-20e11514-b980-4bbf-aa61-5baa3210ba8c.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 1; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 Venture specifications and features\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773878485550-5db6fb45-da9e-409b-9368-893f2cd20ab5.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 610 × 370 × 445–496 mm (Standing, variable)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWeight:\u003c\/strong\u003e 12.2–13.5 kg (including battery)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePayload Capacity:\u003c\/strong\u003e 7 kg continuous; up to 10 kg maximum\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Endurance:\u003c\/strong\u003e Up to 2 hours continuous operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Range:\u003c\/strong\u003e 4 km maximum\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMax Speed:\u003c\/strong\u003e 4 m\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSlope Climbing:\u003c\/strong\u003e Up to 40°\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStair Climbing:\u003c\/strong\u003e 15 cm continuous steps\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotion Host Processor:\u003c\/strong\u003e RK3588 ARM-architecture processor (1 kHz control)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOptional Perception Host:\u003c\/strong\u003e NVIDIA Jetson Xavier NX (add-on configuration)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJoint Torque:\u003c\/strong\u003e 50% higher than previous generation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnectivity:\u003c\/strong\u003e Ethernet support for advanced networking\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl Frequency:\u003c\/strong\u003e Up to 1 kHz real-time responsiveness\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating System:\u003c\/strong\u003e Ubuntu 20.04 compatible\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS Support:\u003c\/strong\u003e ROS1 (Noetic) and ROS2 (Foxy) compatible\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDevelopment Access:\u003c\/strong\u003e Full open SDK and API access\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular Expandability:\u003c\/strong\u003e Support for sensor and processor module additions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnhancement Potential:\u003c\/strong\u003e Upgradeable path to Pro\/LiDAR configurations\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePositioning:\u003c\/strong\u003e Mid-tier bridging Basic and Pro configurations\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnvironmental Protection:\u003c\/strong\u003e IP54-rated housing for dust and splash resistance in field conditions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4G LTE Connectivity:\u003c\/strong\u003e Cellular modem for remote monitoring and control beyond WiFi range\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCloud Platform:\u003c\/strong\u003e Deep Robotics cloud service for fleet management and mission data storage\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Time:\u003c\/strong\u003e Approximately 1.5 hours from depleted to full charge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIMU Sensor:\u003c\/strong\u003e 9-axis inertial measurement unit for terrain-aware balance and orientation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBody Material:\u003c\/strong\u003e Ruggedized composite chassis with sealed joints and weather-resistant panels\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnhanced Payload Capacity:\u003c\/strong\u003e 7 kg continuous with up to 10 kg maximum load support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtended Operating Range:\u003c\/strong\u003e 4 km maximum for longer exploration missions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eImproved Battery Life:\u003c\/strong\u003e Up to 2 hours continuous operation per charge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEthernet Connectivity:\u003c\/strong\u003e Advanced networking capabilities for remote deployment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e50% Increased Joint Torque:\u003c\/strong\u003e More powerful motor responses for demanding tasks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProfessional-Grade Motion:\u003c\/strong\u003e 1 kHz control loop for smooth, responsive movement\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS1 and ROS2 Dual Support:\u003c\/strong\u003e Compatible with multiple robotics frameworks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpen SDK\/API Access:\u003c\/strong\u003e Full development tools for custom applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular Architecture:\u003c\/strong\u003e Optional addition of AI processors and sensors\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpgrade Path:\u003c\/strong\u003e Can be extended to Pro or LiDAR configurations\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommercial-Ready:\u003c\/strong\u003e Robust specifications for professional deployments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Motion Algorithms:\u003c\/strong\u003e Precise control for complex terrain navigation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Terrain Capability:\u003c\/strong\u003e Handles slopes to 40° and 15 cm stairs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSecondary Development Support:\u003c\/strong\u003e Comprehensive tools for custom development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial Application Ready:\u003c\/strong\u003e Suitable for semi-professional robotics deployments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIP54 Weather Protection:\u003c\/strong\u003e Sealed housing enables outdoor operation in rain, dust, and challenging conditions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4G LTE Remote Access:\u003c\/strong\u003e Cellular connectivity enables monitoring and control from any location with cellular coverage\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCloud Fleet Management:\u003c\/strong\u003e Web-based dashboard for managing multiple Venture units across distributed deployments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHot-Swappable Battery:\u003c\/strong\u003e Quick-release mechanism enables rapid field replacement for continuous operations\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Patrol Mode:\u003c\/strong\u003e Pre-programmed waypoint navigation for scheduled inspection and monitoring routes\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMission Data Logging:\u003c\/strong\u003e Onboard storage records sensor data, route history, and environmental metrics for post-mission analysis\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 2; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 Venture enhanced capabilities and use cases\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776206812117-6d29201f-7b51-4d53-a233-691450883f13.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 1;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Venture applications\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776206926226-ee0d5b61-029f-4f0a-9337-083862b7daaf.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cp\u003eThe Lite3 Venture targets production-oriented deployment scenarios where a legged robot must operate reliably in real-world conditions over extended periods. Facility managers deploy the Venture for autonomous building inspection routines, monitoring equipment status, environmental conditions, and security perimeters without human intervention. The platform's IP54 weatherproofing and robust construction enable outdoor deployment for perimeter patrol, agricultural monitoring, and infrastructure assessment in conditions that would damage less hardened platforms.\u003c\/p\u003e\n\u003cp\u003eResearch institutions and defense organizations leverage the Venture's 90-minute battery life and advanced sensor suite for extended autonomous missions including area mapping, terrain classification, and multi-waypoint navigation exercises. The 4G LTE connectivity enables remote monitoring and control from command centers, making it practical for applications where the operator cannot maintain line-of-sight contact. Integration with the Deep Robotics cloud platform provides fleet management capabilities for organizations deploying multiple units across distributed locations.\u003c\/p\u003e\n\u003cp\u003eThe modular upgrade path means organizations can start with the Venture's built-in sensor suite for initial deployments, then add Jetson Xavier NX perception or LiDAR modules as mission requirements expand, protecting the initial hardware investment while scaling capability incrementally to match evolving operational needs.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eSetup and Getting Started\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eEstimated Setup Time:\u003c\/strong\u003e\u003cspan\u003e 30 to 45 minutes for unboxing, battery charging, initial power-on, and first walk test.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 1 - Unbox and Inspect:\u003c\/strong\u003e\u003cspan\u003e Remove the Lite3 Venture from packaging. Verify all components are present: robot unit, rechargeable 28.8V\/4.4Ah lithium-ion battery, AC charger, wireless gamepad controller, and documentation.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 2 - Charge the Battery:\u003c\/strong\u003e\u003cspan\u003e Connect the charger to the battery pack and charge fully (approximately 40 to 60 minutes). The battery is hot-swappable and provides 1.5 to 2 hours of continuous operation.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 3 - Insert Battery and Power On:\u003c\/strong\u003e\u003cspan\u003e Slide the charged battery into the battery bay. Place the robot on a flat, open surface with at least 6 feet of clearance in all directions. Press the power button and allow approximately 60 seconds for the boot sequence to complete.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 4 - Wireless Controller Pairing:\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003ePower on the included wireless gamepad controller. It pairs automatically with the robot. Use the left joystick for directional movement and the right joystick for orientation adjustments.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 5 - Install the Companion App:\u003c\/strong\u003e\u003cspan\u003e Download the DEEP Robotics app (Android 6.0 or later) from the app store. Connect your phone to the robot's WiFi network and open the app for additional control modes, telemetry, and motion commands.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 6 - Test Basic Locomotion:\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003eUse the controller or app to walk the robot forward, backward, and sideways. Test special motions such as High Jump, Hello, Twist, and Moonwalk to verify all 12 degrees of freedom are operational\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\u003cspan\u003e\u003cb id=\"docs-internal-guid-cc933aa7-7fff-e738-1a7b-d0aff1e13729\"\u003eDeveloper Access: \u003c\/b\u003eFor advanced users, the Lite3 Venture supports C++ SDK, Python SDK, ROS1 (Noetic), and ROS2 (Humble). Access the open SDK via the Deep Robotics GitHub repository. Connect via Ethernet for low-latency development workflows.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Venture setup and getting started\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776206953113-60097e37-5957-4feb-802f-6df2555ec31a.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cul style=\"list-style-type: none; padding-left: 0; margin-left: 0;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot Unit:\u003c\/strong\u003e Deep Robotics Lite3 Venture quadruped with full sensor suite and IP54 housing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSensor Suite:\u003c\/strong\u003e Pre-integrated depth cameras and environmental sensors factory-calibrated\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Packs:\u003c\/strong\u003e Multiple rechargeable lithium batteries for extended 90-minute missions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharger:\u003c\/strong\u003e Multi-bay charging station for rapid battery rotation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4G LTE Module:\u003c\/strong\u003e Cellular connectivity hardware with SIM card tray (SIM not included)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetwork Cables:\u003c\/strong\u003e Ethernet cables for local development and configuration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocumentation:\u003c\/strong\u003e Deployment guide, cloud platform manual, and API reference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Access:\u003c\/strong\u003e Deep Robotics cloud platform credentials, SDK, and fleet management tools\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommunity Access:\u003c\/strong\u003e Enterprise support portal and developer community registration\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eDocumentation and Resources\u003c\/h3\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eLite3 AI User Manual (PDF):\u003c\/strong\u003e \u003ca href=\"https:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\"\u003ehttps:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 Perception Development Manual (PDF):\u003c\/strong\u003e \u003ca href=\"https:\/\/static.generation-robots.com\/media\/lite-3-perception-development-manual.pdf\"\u003ehttps:\/\/static.generation-robots.com\/media\/lite-3-perception-development-manual.pdf\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eDeep Robotics GitHub Organization:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 Motion SDK:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 ROS Package:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eWarranty Information\u003c\/h3\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis product is covered by a 12-Month Limited Warranty. The warranty covers defects in materials and workmanship under normal use.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eCovered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eDeep Robotics Lite3 Venture: 12-Month (1-Year) Full-Unit Warranty\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eCore Components (battery, joints): 6-Month Warranty\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eNot Covered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from misuse, negligence, or unauthorized modification\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Normal wear and tear on consumable components\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from use outside recommended operating conditions\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Unauthorized repairs or disassembly\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAll warranty claims require valid proof of purchase.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Deep Robotics","offers":[{"title":"Default Title","offer_id":43884281069656,"sku":"L3-200-00-03","price":6480.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/deep-robotics-lite3-venture-quadruped-robot-industrial-inspection-research.webp?v=1773797889"},{"product_id":"deep-robotics-lite3-pro","title":"Deep Robotics Lite3 Pro","description":"\u003c!-- PRODUCT: Deep Robotics Lite3 Pro --\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDeep Robotics Lite3 Pro\u003c\/h2\u003e\n\u003cdiv style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333;\"\u003e\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cp\u003eThe Deep Robotics Lite3 Pro is a research-grade quadruped platform that bridges exceptional locomotion capabilities with sophisticated AI perception. Featuring the proven RK3588 motion controller paired with an NVIDIA Jetson Xavier NX processor and Intel RealSense D435i depth camera, the Lite3 Pro delivers advanced perception without the complexity of full LiDAR integration. This configuration makes it ideal for researchers focusing on visual SLAM, neural network inference, deep learning-based perception, and AI-driven autonomous behaviors. The split-brain architecture keeps motion control independent while enabling full experimental freedom on the perception side.\u003c\/p\u003e\n\u003cp\u003eThe split-brain architecture with independent motion controller and perception processor enables researchers to modify AI algorithms without affecting the stability and reliability of locomotion control. This separation is critical for developing and testing new neural network models without risking robot stability.\u003c\/p\u003e\n\u003cp\u003eThe Intel RealSense D435i depth camera and NVIDIA Jetson Xavier NX provide professional-grade perception capabilities for visual SLAM, object detection, and semantic understanding tasks. This configuration optimizes cost-to-capability ratio for vision-intensive research applications.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 400px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Pro research-grade platform\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773879051843-ac8c2488-d050-47d1-8713-788bb58695c0.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 1; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 Pro dual-processor architecture diagram\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773879363327-67ac7561-7f71-4610-ba70-53120be24ea5.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 610 × 370 × 445 mm (Standing)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWeight:\u003c\/strong\u003e 12.2–13.5 kg (including battery, sensor package)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePayload Capacity:\u003c\/strong\u003e 5 kg continuous; 7.5 kg maximum\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Endurance:\u003c\/strong\u003e 1.5–2 hours continuous operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Range:\u003c\/strong\u003e 4 km (with perception host)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMax Speed:\u003c\/strong\u003e 4 m\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSlope Climbing:\u003c\/strong\u003e Up to 40°\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStair Climbing:\u003c\/strong\u003e 15 cm continuous steps\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotion Host Processor:\u003c\/strong\u003e RK3588 ARM-architecture (1 kHz control frequency)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePerception Processor:\u003c\/strong\u003e NVIDIA Jetson Xavier NX (8-core ARM A72, 8GB LPDDR4)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth Camera:\u003c\/strong\u003e Intel RealSense D435i RGB-D sensor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJoint Torque:\u003c\/strong\u003e 50% higher than previous generation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVisual SLAM Capability:\u003c\/strong\u003e Real-time Visual SLAM using RealSense depth stream\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNeural Network Inference:\u003c\/strong\u003e CUDA-enabled TensorFlow and PyTorch support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eObject Detection:\u003c\/strong\u003e YOLOv8 and other DNN models deployable on Jetson NX\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating System:\u003c\/strong\u003e Ubuntu 20.04 (ROS1 and ROS2 compatible)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS Versions:\u003c\/strong\u003e ROS1 (Noetic) and ROS2 (Foxy) with switching support\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDevelopment Access:\u003c\/strong\u003e Full open SDK and API access\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eArchitecture Design:\u003c\/strong\u003e Split-brain (motion\/perception) for research independence\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePositioning:\u003c\/strong\u003e Mid-high tier variant with balanced perception and locomotion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPU Architecture:\u003c\/strong\u003e NVIDIA Ampere with 1024 CUDA cores for parallel AI workloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth Camera Count:\u003c\/strong\u003e Dual Intel RealSense units providing stereo depth perception\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Time:\u003c\/strong\u003e Approximately 1.5 hours from depleted to full charge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBody Material:\u003c\/strong\u003e High-strength composite chassis with impact-resistant panels and dual camera protection\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual-Processor Split-Brain:\u003c\/strong\u003e RK3588 handles motion control; Jetson Xavier NX handles AI perception independently\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Jetson Xavier NX:\u003c\/strong\u003e 8-core ARM A72 processor with dedicated GPU for neural network inference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntel RealSense D435i:\u003c\/strong\u003e RGB-D depth camera for visual perception and localization\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVisual SLAM Support:\u003c\/strong\u003e Real-time ORB-SLAM or similar algorithms on depth stream\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep Learning Ready:\u003c\/strong\u003e CUDA-enabled TensorFlow and PyTorch for on-robot neural networks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eObject Detection:\u003c\/strong\u003e Run YOLOv8, MobileNet, and other DNN models for visual understanding\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1 kHz Motion Control:\u003c\/strong\u003e Real-time joint control independent of perception processing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReinforcement Learning Support:\u003c\/strong\u003e Train and deploy RL policies via Lite3_rl_deploy\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS1 and ROS2 Dual Support:\u003c\/strong\u003e Flexible software framework compatibility with built-in switching\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnhanced Joint Torque:\u003c\/strong\u003e 50% increased drive torque for improved agility and payload\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResearch Independence:\u003c\/strong\u003e Motion stability isolated from perception experiments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtended Connectivity:\u003c\/strong\u003e Ethernet connectivity for streaming and network communication\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI-Optimized Gaits:\u003c\/strong\u003e Pre-loaded RL-trained locomotion algorithms for improved stability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular Sensor Architecture:\u003c\/strong\u003e Support for additional sensors and perception modules\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise Research Grade:\u003c\/strong\u003e Industrial-strength specifications for academic and commercial research\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSim-to-Real Pipeline:\u003c\/strong\u003e Support for training in simulation and deploying to hardware\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAPI for Custom Applications:\u003c\/strong\u003e Full SDK access for developing perception-driven behaviors\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Framework Compatibility:\u003c\/strong\u003e Supports multiple robotics and AI development frameworks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProfessional Support:\u003c\/strong\u003e Access to dedicated technical resources and research community\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtensible Design:\u003c\/strong\u003e Open architecture supports future capability additions and upgrades\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1024 CUDA Cores:\u003c\/strong\u003e Massive parallel processing power for real-time neural network inference and computer vision\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStereo Depth Perception:\u003c\/strong\u003e Dual RealSense cameras provide overlapping fields of view for robust 3D environment mapping\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHot-Swappable Battery:\u003c\/strong\u003e Quick-release battery mechanism enables field replacement without tools\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSimultaneous AI Pipelines:\u003c\/strong\u003e GPU headroom supports running perception, planning, and control networks concurrently\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 2; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 Pro perception and AI capabilities demonstration\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776206263629-eb8eb999-94c9-4a94-b839-5d797673e231.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 1;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Pro applications\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776206299339-aaaa9dfc-aabc-4499-84d3-0d7fd9f54ead.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cp\u003eThe Lite3 Pro is engineered for professional robotics research groups and engineering teams that require a high-performance quadruped platform with the computational headroom for advanced AI workloads. University robotics labs deploy the Lite3 Pro for research in reinforcement learning, sim-to-real transfer, and adaptive locomotion across varied terrain types. The NVIDIA Jetson Orin Nano's GPU acceleration enables real-time neural network inference for perception, planning, and control tasks that would overwhelm CPU-only platforms.\u003c\/p\u003e\n\u003cp\u003eCommercial applications span autonomous inspection of industrial facilities, security patrol in complex indoor-outdoor environments, and development of custom robotic solutions requiring both mobility and onboard intelligence. The dual RealSense depth cameras provide stereo perception for sophisticated obstacle avoidance and environment mapping, while the ROS2 ecosystem compatibility enables rapid integration with existing robotics software stacks. The Lite3 Pro bridges the gap between educational platforms and full industrial-grade quadrupeds, offering professional-tier capability at a research-accessible price point.\u003c\/p\u003e\n\u003cp\u003eThe combination of dual depth cameras, GPU computing, and the Lite3 mechanical platform creates a self-contained development system that eliminates external computing dependencies during field testing. Research groups publishing in top-tier robotics venues use the Lite3 Pro to validate perception-locomotion integration approaches that would be prohibitively expensive to develop on larger industrial platforms.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eSetup and Getting Started\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eEstimated Setup Time:\u003c\/strong\u003e\u003cspan\u003e 1 to 2 hours for unboxing, charging, component verification, GPU initialization, and running the first autonomous navigation demo.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 1 - Unbox and Verify Components:\u003c\/strong\u003e\u003cspan\u003e Confirm all items: Lite3 Pro unit with factory-mounted dual Intel RealSense D435i depth cameras, NVIDIA Jetson Xavier NX perception computer with pre-installed dev environment, rechargeable lithium battery (18 Ah high-capacity), AC charger, Ethernet cable, quick start guide, GPU computing reference, and SDK documentation.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 2 - Charge the Battery:\u003c\/strong\u003e\u003cspan\u003e Fully charge the 18 Ah battery (approximately 1.5 hours). This higher-capacity battery provides 2 to 2.5 hours of runtime with cameras and SLAM active, or 4 to 5 hours on standby.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 3 - Power On and Boot:\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003ePlace the robot on a flat, open surface. Power on and allow approximately 2 minutes for the full boot sequence, including GPU initialization, camera calibration, and sensor validation across the split-brain architecture (RK3588 motion host + Jetson Xavier NX perception host).\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 4 - Network Connection:\u003c\/strong\u003e\u003cspan\u003e Connect to the Jetson via WiFi or Ethernet (USB 3.0 and HDMI also available). The Pro supports external power input at 24V, 12V, and 5V for extended development sessions.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 5 - Install SDK and ROS Packages:\u003c\/strong\u003e\u003cspan\u003e Install the Deep Robotics SDK and ROS2 packages on your development machine. The system runs Ubuntu 20.04 with ROS1 (Noetic) and ROS2 (Foxy) switching support, CUDA-enabled TensorFlow and PyTorch, and YOLOv8.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 6 - Run Diagnostics:\u003c\/strong\u003e\u003cspan\u003e Execute the built-in diagnostic suite to verify all 12 DOF, both depth cameras, GPU compute, and sensor fusion are operational.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 7 - First Autonomous Demo:\u003c\/strong\u003e\u003cspan\u003e Run the sample autonomous navigation demo to see the stereo depth perception and SLAM capabilities in action. The Pro handles 40-degree slopes, 15 cm stairs, and reaches 4 m\/s at full speed.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\u003cspan\u003e\u003cb id=\"docs-internal-guid-0f34b354-7fff-2560-fea3-426513600d62\"\u003eIP Rating: \u003c\/b\u003eIP54 splash-resistant, suitable for outdoor field testing.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 Pro setup and getting started\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776206328191-428fec5d-b109-4317-bb65-d3ab48a77cbb.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cul style=\"list-style-type: none; padding-left: 0; margin-left: 0;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot Unit:\u003c\/strong\u003e Deep Robotics Lite3 Pro quadruped with dual depth cameras and GPU computing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth Cameras:\u003c\/strong\u003e Two Intel RealSense depth camera modules factory-mounted and calibrated\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputing Module:\u003c\/strong\u003e NVIDIA Jetson Orin Nano with pre-installed development environment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Packs:\u003c\/strong\u003e Rechargeable lithium batteries for extended operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharger:\u003c\/strong\u003e AC power adapter for battery charging\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEthernet Cable:\u003c\/strong\u003e Network cable for development workstation connection\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocumentation:\u003c\/strong\u003e Quick start guide, GPU computing reference, and SDK documentation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Access:\u003c\/strong\u003e Deep Robotics SDK, ROS2 packages, and AI model deployment tools\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommunity Access:\u003c\/strong\u003e Developer forum and professional support registration\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eDocumentation and Resources\u003c\/h3\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eLite3 AI User Manual (PDF):\u003c\/strong\u003e \u003ca href=\"https:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\"\u003ehttps:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLite3 Perception Development Manual (PDF):\u003c\/strong\u003e \u003ca href=\"https:\/\/static.generation-robots.com\/media\/lite-3-perception-development-manual.pdf\"\u003ehttps:\/\/static.generation-robots.com\/media\/lite-3-perception-development-manual.pdf\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eDeep Robotics GitHub Organization:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 Motion SDK:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 ROS Package:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eWarranty Information\u003c\/h3\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis product is covered by a 12-Month Limited Warranty. The warranty covers defects in materials and workmanship under normal use.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003eCovered:\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eDeep Robotics Lite3 Pro: 12-Month (1-Year) Full-Unit Warranty\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eCore Components (battery, joints): 6-Month Warranty\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eNot Covered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from misuse, negligence, or unauthorized modification\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Normal wear and tear on consumable components\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from use outside recommended operating conditions\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Unauthorized repairs or disassembly\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAll warranty claims require valid proof of purchase.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Deep Robotics","offers":[{"title":"Default Title","offer_id":43884290670680,"sku":"L3-300-00-05","price":12510.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/deep-robotics-lite3-pro-quadruped-robot-industrial-inspection-research.webp?v=1773869765"},{"product_id":"deep-robotics-lite3-pro-copy","title":"Deep Robotics Lite3 LiDAR","description":"\u003c!-- PRODUCT: Deep Robotics Lite3 LiDAR --\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDeep Robotics Lite3 LiDAR\u003c\/h2\u003e\n\u003cdiv style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333;\"\u003e\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cp\u003eThe Deep Robotics Lite3 LiDAR represents the ultimate research-grade quadruped platform, combining the proven performance of the Lite3 with advanced 3D perception and autonomous navigation capabilities. Equipped with industrial-grade LiDAR sensors, Intel RealSense D435i depth camera, and an NVIDIA Jetson Xavier NX AI processor, the Lite3 LiDAR enables sophisticated applications including real-time SLAM, autonomous navigation, obstacle avoidance, and autonomous exploration. This highest-capability variant in the Lite3 lineup delivers enterprise-grade specifications for demanding research, industrial inspection, and autonomous mobile robotics applications.\u003c\/p\u003e\n\u003cp\u003eThe integrated industrial-grade LiDAR sensor combined with Intel RealSense D435i depth camera provides redundant 3D environmental perception for maximum reliability in research applications. The NVIDIA Jetson Xavier NX processor delivers sufficient computational capacity for real-time SLAM processing and obstacle map generation.\u003c\/p\u003e\n\u003cp\u003eThis configuration enables autonomous navigation without reliance on GPS or external localization systems, making it ideal for indoor robotics research and GPS-denied environments. Advanced sensor fusion enables sophisticated behavior trees and autonomous task planning.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 400px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 LiDAR with advanced sensor suite\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773881983371-a4b517dc-598b-47b4-9645-90731cb1cbd2.png\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 1; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 LiDAR sensor architecture and specifications\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773882739797-a328bb4e-ece4-423b-92ee-a6ce21869941.png\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 610 × 370 × 496 mm (Standing, with LiDAR)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWeight:\u003c\/strong\u003e 13.5 kg (including battery and LiDAR)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePayload Capacity:\u003c\/strong\u003e 5 kg continuous; 7.5 kg maximum\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Endurance:\u003c\/strong\u003e 1.5–2 hours continuous operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Range:\u003c\/strong\u003e 2.7 km (LiDAR-equipped configuration)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMax Speed:\u003c\/strong\u003e 4 m\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSlope Climbing:\u003c\/strong\u003e Up to 40°\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStair Climbing:\u003c\/strong\u003e 15 cm continuous steps\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMotion Host Processor:\u003c\/strong\u003e RK3588 ARM-architecture processor (1 kHz control)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePerception Processor:\u003c\/strong\u003e NVIDIA Jetson Xavier NX (AI\/perception host)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePrimary LiDAR:\u003c\/strong\u003e Livox or Leishen LiDAR module for 3D mapping\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDepth Camera:\u003c\/strong\u003e Intel RealSense D435i RGB-D camera\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJoint Torque:\u003c\/strong\u003e 50% higher than previous generation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSLAM Algorithm:\u003c\/strong\u003e Faster-LIO (LIO-SAM compatible) pre-configured\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNavigation Stack:\u003c\/strong\u003e Nav2 autonomous navigation pre-configured\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating System:\u003c\/strong\u003e Ubuntu 20.04 (ROS2 Humble recommended)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS Versions:\u003c\/strong\u003e ROS1 (Noetic) and ROS2 (Foxy\/Humble) supported\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Framework Support:\u003c\/strong\u003e PyTorch and TensorFlow compatible\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDevelopment Access:\u003c\/strong\u003e Full open SDK and API access\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHighest Tier Configuration:\u003c\/strong\u003e Top-of-the-line Lite3 variant with maximum capabilities\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLiDAR Scan Rate:\u003c\/strong\u003e High-frequency rotation providing dense point cloud updates per second\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMapping Accuracy:\u003c\/strong\u003e Centimeter-level precision for indoor and outdoor environment reconstruction\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Time:\u003c\/strong\u003e Approximately 1.5 hours from depleted to full charge\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBody Material:\u003c\/strong\u003e High-strength composite chassis with impact-resistant panels and sensor protection\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual-Sensor Perception:\u003c\/strong\u003e Industrial LiDAR combined with Intel RealSense D435i for robust 3D sensing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReal-Time SLAM:\u003c\/strong\u003e Faster-LIO algorithm delivers fast, accurate 3D mapping and localization\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Navigation:\u003c\/strong\u003e Nav2 stack enables fully autonomous path planning and obstacle avoidance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Jetson Xavier NX:\u003c\/strong\u003e Dedicated GPU for AI perception and neural network inference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSplit-Brain Architecture:\u003c\/strong\u003e RK3588 for motion control, Jetson NX for perception (independent operation)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3D Point Cloud Processing:\u003c\/strong\u003e Full 3D environmental reconstruction and analysis\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVisual Following:\u003c\/strong\u003e Autonomous object tracking and person-following capabilities\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eObstacle Avoidance:\u003c\/strong\u003e Real-time 3D obstacle detection and automatic avoidance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAuto Navigation:\u003c\/strong\u003e Waypoint-based autonomous navigation for complex paths\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnvironmental Mapping:\u003c\/strong\u003e Create detailed 3D maps of exploration areas\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 Native Support:\u003c\/strong\u003e Pre-configured for ROS2 Humble with full compatibility\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNeural Network Deployment:\u003c\/strong\u003e Run YOLO and other DNN models for perception tasks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnhanced Motion Control:\u003c\/strong\u003e 50% increased joint torque for improved agility\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReinforcement Learning Ready:\u003c\/strong\u003e Support for RL-based policy development and deployment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise Research Grade:\u003c\/strong\u003e Industrial-strength specifications for demanding applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Modal Sensor Fusion:\u003c\/strong\u003e Combines LiDAR, RGB-D, and inertial data for robust perception\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublished Perception Functions:\u003c\/strong\u003e SDK examples for SLAM, navigation, and obstacle avoidance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtended Development Ecosystem:\u003c\/strong\u003e Access to published research and community projects\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIP Core Protection:\u003c\/strong\u003e Separate motion and perception domains for research independence\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtensible Architecture:\u003c\/strong\u003e Open API for custom perception and navigation algorithms\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDense Point Cloud Generation:\u003c\/strong\u003e High scan rate produces detailed 3D maps suitable for survey-grade applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGPS-Denied Navigation:\u003c\/strong\u003e LiDAR-based SLAM enables autonomous operation in tunnels, mines, and indoor spaces\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHot-Swappable Battery:\u003c\/strong\u003e Quick-release battery mechanism enables field replacement for extended missions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSensor Protection Housing:\u003c\/strong\u003e Reinforced LiDAR mounting with impact-resistant cowling prevents damage during field operations\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 2; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lite3 LiDAR autonomous navigation and SLAM visualization\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773879051843-ac8c2488-d050-47d1-8713-788bb58695c0.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 1;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 LiDAR applications\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776205865362-ecaef711-4e78-4dca-ad1d-82144e07beb4.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cp\u003eThe Lite3 LiDAR addresses demanding applications in autonomous navigation research, precision 3D mapping, and SLAM algorithm development where high-fidelity environmental perception is critical. Research teams use the platform to develop and validate LiDAR-based navigation strategies in complex indoor and outdoor environments, including multi-story buildings, construction sites, and natural terrain. The 360-degree scanning capability and centimeter-level accuracy make it suitable for generating survey-grade point cloud data while simultaneously navigating challenging surfaces.\u003c\/p\u003e\n\u003cp\u003eIndustrial applications include facility inspection in GPS-denied environments such as tunnels, mines, and dense urban corridors where satellite-based positioning fails. The platform excels at autonomous infrastructure assessment tasks where it must navigate obstacles, map structural features, and identify anomalies without human guidance. Academic institutions leverage the Lite3 LiDAR for competitive robotics challenges, graduate thesis research in autonomous systems, and cross-disciplinary projects combining legged locomotion with geospatial data collection.\u003c\/p\u003e\n\u003cp\u003eThe modular sensor mount supports adding supplementary cameras and environmental sensors alongside the primary LiDAR unit, enabling multi-modal data collection for research projects that combine point cloud data with visual or thermal imagery. Competition teams and thesis researchers find the platform provides a complete autonomous navigation testbed that produces results transferable to larger industrial quadrupeds and mobile robot platforms.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eSetup and Getting Started\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eEstimated Setup Time:\u003c\/strong\u003e\u003cspan\u003e 1 to 2 hours for unboxing, charging, sensor verification, SDK installation, and first autonomous navigation test.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 1 - Unbox and Verify:\u003c\/strong\u003e\u003cspan\u003e Confirm all components: Lite3 LiDAR unit with Livox or Leishen LiDAR module and Intel RealSense D435i depth camera, battery, charger, wireless controller, Ethernet cable, documentation, and SDK access credentials.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 2 - Charge the Battery:\u003c\/strong\u003e\u003cspan\u003e Fully charge the battery. Runtime is approximately 2 hours with all sensors active, covering up to 2.7 km range.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 3 - Power On:\u003c\/strong\u003e\u003cspan\u003e Place on a flat surface and power on. The dual-host architecture (RK3588 motion + NVIDIA Jetson Xavier NX perception) initializes the LiDAR and depth camera during boot.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 4 - Connect and Configure:\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003eConnect via WiFi, Ethernet, USB 3.0, or HDMI. Install the SDK and ROS2 packages on your development machine. The system runs Ubuntu 20.04 with ROS1 (Noetic) and ROS2 (Foxy).\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 5 - Test Perception Modes:\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003eThe LiDAR variant supports obstacle stop (front\/rear), visual following, forward obstacle avoidance, and autonomous navigation. Run the built-in diagnostics, then test 3D mapping and environmental reconstruction using the LiDAR module.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\u003cspan\u003e\u003cb id=\"docs-internal-guid-dc751eed-7fff-9750-4aa7-f978c8f331c3\"\u003eStep 6 - Explore SDK: \u003c\/b\u003eAccess motion SDK and perception development interfaces with sample code for custom SLAM, path planning, and object detection applications.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 300px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lite3 LiDAR setup and getting started\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776205892443-e399866d-27b0-45bb-b9af-f43bcca53d19.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cul style=\"list-style-type: none; padding-left: 0; margin-left: 0;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot Unit:\u003c\/strong\u003e Deep Robotics Lite3 LiDAR quadruped with pre-mounted 360-degree LiDAR sensor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLiDAR Module:\u003c\/strong\u003e High-resolution laser scanner factory-calibrated for point cloud generation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Packs:\u003c\/strong\u003e Rechargeable lithium batteries with extended operation capacity\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharger:\u003c\/strong\u003e AC power adapter with multi-battery charging capability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEthernet Cable:\u003c\/strong\u003e Network cable for development workstation connection\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocumentation:\u003c\/strong\u003e Quick start guide, LiDAR calibration reference, and SLAM configuration manual\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Access:\u003c\/strong\u003e Deep Robotics SDK, ROS2 packages, and LiDAR processing tools\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommunity Access:\u003c\/strong\u003e Developer forum and technical support registration\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eDocumentation and Resources\u003c\/h3\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 AI User Manual (PDF): \u003c\/strong\u003e\u003ca href=\"https:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\"\u003ehttps:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLite3 Perception Development Manual (PDF):\u003c\/strong\u003e \u003ca href=\"https:\/\/static.generation-robots.com\/media\/lite-3-perception-development-manual.pdf\"\u003ehttps:\/\/static.generation-robots.com\/media\/lite-3-perception-development-manual.pdf\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eDeep Robotics GitHub Organization:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 Motion SDK:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 ROS Package:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_ROS\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eWarranty Information\u003c\/h3\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis product is covered by a 12-Month Limited Warranty. The warranty covers defects in materials and workmanship under normal use.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eCovered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eDeep Robotics Lite3 LiDAR: 12-Month (1-Year) Full-Unit Warranty\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eCore Components (battery, joints): 6-Month Warranty\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eNot Covered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from misuse, negligence, or unauthorized modification\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Normal wear and tear on consumable components\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from use outside recommended operating conditions\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Unauthorized repairs or disassembly\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAll warranty claims require valid proof of purchase.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Deep Robotics","offers":[{"title":"Default Title","offer_id":43885833945176,"sku":"L3-400-02-06","price":18270.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/deep-robotics-lite3-quadruped-robot-lidar-sensor-autonomous-inspection-research.webp?v=1773870323"},{"product_id":"deep-robotics-lite3-controller","title":"Deep Robotics Lite3 Controller","description":"\u003c!-- PRODUCT: Deep Robotics Lite3 Controller --\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDeep Robotics Lite3 Controller\u003c\/h2\u003e\n\u003cdiv style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333;\"\u003e\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cp\u003eThe Deep Robotics Lite3 Controller is the official wireless remote control accessory for the entire Lite3 quadruped robot family, providing intuitive real-time teleoperation through a familiar ergonomic gamepad form factor. The controller communicates via a 2.4 GHz UDP wireless protocol with frequency-hopping spread spectrum, delivering sub-10ms round-trip latency that enables responsive manual control of walking, trotting, bounding, and complex gait transitions. Compatible with every Lite3 variant including Basic, Basic AI, Venture, Pro, and LiDAR configurations, a single controller serves as a universal manual interface across the entire product line.\u003c\/p\u003e\n\u003cp\u003eThe dual analog stick layout provides smooth directional movement control on the left stick and body orientation adjustment on the right, with dedicated buttons for gait mode switching, speed adjustment, and emergency stop. Programmable buttons can be customized through the API for specialized applications, and haptic vibration feedback provides tactile confirmation of command execution and mode changes. The multi-channel frequency-hopping protocol prevents interference when operating multiple Lite3 units simultaneously in the same environment.\u003c\/p\u003e\n\u003cp\u003eBuilt for extended field use, the controller features a splash-resistant housing with rubberized grip surfaces and delivers 8+ hours of continuous operation on a single charge via USB-C. Status LED indicators display connection quality, battery level, and active locomotion mode at a glance. Whether used as a primary teleoperation interface for research, a safety override during autonomous navigation testing, or a teaching tool for live robotics demonstrations, the Lite3 Controller is an essential companion for any Lite3 deployment.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eForm Factor:\u003c\/strong\u003e Ergonomic gamepad-style handheld controller\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommunication Protocol:\u003c\/strong\u003e UDP wireless (2.4 GHz)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnectivity:\u003c\/strong\u003e Wireless receiver module for robot units\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl Latency:\u003c\/strong\u003e Low-latency real-time feedback transmission\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eButton Configuration:\u003c\/strong\u003e Multiple programmable control buttons and triggers\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual Analog Sticks:\u003c\/strong\u003e Smooth directional control for movement and rotation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Type:\u003c\/strong\u003e Rechargeable lithium battery or AA batteries (model dependent)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Range:\u003c\/strong\u003e Wireless range optimized for outdoor and indoor use\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFirmware Updates:\u003c\/strong\u003e Compatible with latest Lite3 firmware versions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompatibility:\u003c\/strong\u003e Works with all Lite3 variants (Basic, AI, Venture, Pro, LiDAR)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWarranty:\u003c\/strong\u003e Manufacturer's limited warranty included\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWeight:\u003c\/strong\u003e Lightweight ergonomic design for extended field operation without hand fatigue\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVibration Feedback:\u003c\/strong\u003e Haptic response provides tactile confirmation of command execution and mode changes\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eChannel Selection:\u003c\/strong\u003e Multi-channel frequency hopping prevents interference in multi-robot environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndicator LEDs:\u003c\/strong\u003e Status LEDs display connection state, battery level, and active control mode\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnvironmental Rating:\u003c\/strong\u003e Splash-resistant housing for outdoor field testing in light rain conditions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Frequency:\u003c\/strong\u003e 2.4 GHz ISM band with frequency-hopping spread spectrum\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWireless Range:\u003c\/strong\u003e Up to 100 meters line-of-sight in open outdoor environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Life:\u003c\/strong\u003e 8+ hours continuous use on full charge or fresh batteries\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Interface:\u003c\/strong\u003e USB-C port for convenient charging from standard power sources\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResponse Time:\u003c\/strong\u003e Sub-10ms round-trip latency for responsive real-time control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e Standard gamepad form factor (approximately 155 x 105 x 60 mm)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eLow-Latency Wireless:\u003c\/strong\u003e UDP communication ensures responsive real-time control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eErgonomic Design:\u003c\/strong\u003e Comfortable grip for extended operation sessions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntuitive Button Layout:\u003c\/strong\u003e Familiar gamepad controls for easy operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual Analog Sticks:\u003c\/strong\u003e Precise directional input for complex movement patterns\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProgrammable Buttons:\u003c\/strong\u003e Customizable controls via API for specialized applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePhysical Button Feedback:\u003c\/strong\u003e Real-time trigger event acquisition from controller\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUniversal Compatibility:\u003c\/strong\u003e Works seamlessly with all Lite3 robot variants\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRechargeable Battery:\u003c\/strong\u003e Long battery life with convenient USB charging\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobust Connectivity:\u003c\/strong\u003e Stable wireless connection in various environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReplacement Unit:\u003c\/strong\u003e Perfect for additional controllers or replacements\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Channel Operation:\u003c\/strong\u003e Frequency-hopping protocol enables concurrent control of multiple Lite3 units without cross-talk\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHaptic Feedback:\u003c\/strong\u003e Vibration motor provides tactile confirmation of gait transitions and mode switching\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStatus LED Array:\u003c\/strong\u003e Visual indicators for connection quality, battery level, and active locomotion mode\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eField-Ready Build:\u003c\/strong\u003e Splash-resistant housing and rubberized grip for reliable outdoor operation in varied conditions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFrequency-Hopping Protocol:\u003c\/strong\u003e Automatic channel switching maintains stable connection in RF-congested environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtended Battery Life:\u003c\/strong\u003e 8+ hours continuous operation for full-day field sessions without recharging\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUSB-C Charging:\u003c\/strong\u003e Modern charging standard compatible with standard cables and power banks\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGait Mode Switching:\u003c\/strong\u003e Dedicated buttons for instant transitions between walk, trot, and bound gaits\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEmergency Stop Trigger:\u003c\/strong\u003e Dedicated button immediately halts all robot motion for safety\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpeed Control:\u003c\/strong\u003e Variable speed adjustment via analog input for precise velocity management\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cp\u003eThe Lite3 Controller is essential for any deployment scenario requiring direct human oversight of a Lite3 quadruped robot. Field researchers use it for real-time teleoperation during terrain assessment missions, controlling gait transitions and movement speed across variable surfaces. Robotics educators rely on the controller for live classroom demonstrations of locomotion principles, allowing students to observe immediate cause-and-effect relationships between control inputs and robot behavior.\u003c\/p\u003e\n\u003cp\u003eIn commercial and industrial contexts, the controller serves as the primary manual override interface during autonomous system development and testing phases. Safety operators maintain the controller as a failsafe during autonomous navigation trials, enabling instant transition from AI-driven to human-directed control. The ergonomic design and extended wireless range make it practical for extended outdoor field sessions in research, inspection, and demonstration applications.\u003c\/p\u003e\n\u003cp\u003eOrganizations operating multiple Lite3 units benefit from the controller's multi-channel protocol, which supports simultaneous operation of several robots in proximity without signal interference. Training facilities use multiple controller-robot pairs for group instruction, while research labs leverage the programmable button API to create custom control interfaces optimized for specific experimental protocols.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eSetup and Getting Started\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eEstimated Setup Time:\u003c\/strong\u003e\u003cspan\u003e Under 5 minutes.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 1 - Unbox:\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003eRemove the wireless gamepad controller from packaging. This is the same controller included with all Lite3 robots, available as a standalone replacement or spare.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 2 - Power On and Pair:\u003c\/strong\u003e\u003cspan\u003e\u003cstrong\u003e \u003c\/strong\u003eTurn on the controller; it pairs wirelessly with your Lite3 robot automatically. Effective range is approximately 100 meters line-of-sight.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 3 - Controls Overview:\u003c\/strong\u003e\u003cspan\u003e The dual-joystick layout provides two operating modes. In Move Mode, the left joystick controls translation (forward, backward, left, right). In Pose Mode, the left joystick controls pitch and roll. The right joystick handles yaw and height adjustments in both modes.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\u003cspan\u003e\u003cb id=\"docs-internal-guid-aef9880b-7fff-0e8a-c7f5-4a1fe8bc3cef\"\u003eCompatibility: \u003c\/b\u003eWorks with all Deep Robotics Lite3 variants including Basic, Basic AI, Venture, Pro, and LiDAR models.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cul style=\"list-style-type: none; padding-left: 0; margin-left: 0;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eController Unit:\u003c\/strong\u003e Deep Robotics Lite3 wireless remote controller\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Supply:\u003c\/strong\u003e Batteries or rechargeable internal cell (model dependent)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocumentation:\u003c\/strong\u003e Controller pairing guide, button mapping reference, and safety instructions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWarranty Card:\u003c\/strong\u003e Manufacturer warranty documentation with serial number registration\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eDocumentation and Resources\u003c\/h3\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eLite3 AI User Manual (PDF):\u003c\/strong\u003e \u003ca href=\"https:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\"\u003ehttps:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep Robotics GitHub Organization:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eLite3 Motion SDK:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/Lite3_MotionSDK\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eWarranty Information\u003c\/h3\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis product is covered by a 12-Month Limited Warranty. The warranty covers defects in materials and workmanship under normal use.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch4\u003eCovered:\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eDeep Robotics Lite3 Controller:\u003c\/strong\u003e 12-Month (1-Year) Full-Unit Warranty\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eCore Components (battery, joints): \u003c\/strong\u003e6-Month Warranty\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eNot Covered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from misuse, negligence, or unauthorized modification\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Normal wear and tear on consumable components\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from use outside recommended operating conditions\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Unauthorized repairs or disassembly\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAll warranty claims require valid proof of purchase.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Deep Robotics","offers":[{"title":"Default Title","offer_id":43885837680728,"sku":"L3-900-00-04","price":498.6,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/61dlUX_oBML._AC_SL1500.jpg?v=1773870067"},{"product_id":"deep-robotics-lynx-m20-pro","title":"Deep Robotics Lynx M20 Pro","description":"\u003c!-- PRODUCT: Deep Robotics Lynx M20 Pro --\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDeep Robotics Lynx M20 Pro\u003c\/h2\u003e\n\u003cdiv style=\"font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333;\"\u003e\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cp\u003eThe Deep Robotics Lynx M20 Pro is the world's first industrial-grade wheel-legged quadruped robot designed for extreme terrain and challenging environments. This revolutionary platform combines the rolling speed of wheeled locomotion with the agility and climbability of legged systems, delivering unmatched omnidirectional mobility across mountains, marshlands, debris fields, and urban ruins. With dual 96-line LiDAR units, AI-powered autonomous navigation, industrial-strength IP66 weatherproofing, and extended operational range, the Lynx M20 Pro is engineered for real-world industrial missions including power grid inspection, emergency response, scientific exploration, and logistics in unstructured environments. This premium platform represents the pinnacle of quadruped robotics technology for commercial and research applications.\u003c\/p\u003e\n\u003cp\u003eThe dual 96-line LiDAR configuration provides exceptional environmental perception depth, enabling advanced obstacle avoidance and terrain classification even in low-visibility conditions such as dust, smoke, or harsh weather. The AI-powered autonomous navigation system learns from missions and adapts its movement strategies based on real-world terrain conditions, making it remarkably effective in dynamic and unpredictable environments that would challenge traditional wheeled or purely legged platforms.\u003c\/p\u003e\n\u003cp\u003ePower grid inspectors and emergency response teams benefit tremendously from the Lynx M20 Pro's ability to traverse extreme terrain while maintaining platform stability and carrying sophisticated sensor payloads. The industrial IP66 weatherproofing ensures reliability in rain, mud, and debris-filled environments where traditional robots would fail, making it a genuinely transformative tool for infrastructure assessment, disaster response, and high-consequence inspection missions where safety and reliability are paramount.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lynx M20 Pro wheel-legged industrial robot\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773950674535-b3d107cb-2754-40f8-bbb8-ffdbd38f27f8.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 1; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lynx M20 Pro wheel-leg system and industrial specifications\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773950890113-0657a05c-9b0e-49ac-8c7d-e289949feb24.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 820 × 430 × 570 mm (Standing)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWeight:\u003c\/strong\u003e 33 kg (including battery)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePayload Capacity:\u003c\/strong\u003e 15 kg effective payload; 50 kg maximum load (with reduced speed)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNo-Load Endurance:\u003c\/strong\u003e 3 hours continuous operation; 15 km range\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLoaded Endurance:\u003c\/strong\u003e 2.5 hours with effective load; 12 km range\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Time:\u003c\/strong\u003e 1.5 hours for single battery\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaximum Speed:\u003c\/strong\u003e 5 m\/s (lab-tested); 2 m\/s (recommended operational speed)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaximum Stair Height:\u003c\/strong\u003e 25 cm continuous\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaximum Single Step:\u003c\/strong\u003e 80 cm height\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaximum Slope:\u003c\/strong\u003e 45° incline\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Temperature Range:\u003c\/strong\u003e –20°C to +55°C\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnvironmental Protection:\u003c\/strong\u003e IP66-rated (dust and water resistant)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePrimary LiDAR:\u003c\/strong\u003e Twin 96-line LiDAR units for 360° scanning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLiDAR Range:\u003c\/strong\u003e Extended range for large-area mapping and detection\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputing Architecture:\u003c\/strong\u003e Dual octa-core 64-bit processors × 3 (16GB + 128GB each)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTotal Computing Cores:\u003c\/strong\u003e 48 cores distributed across processing units\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemory Configuration:\u003c\/strong\u003e 48GB total RAM; 384GB total storage\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCamera System:\u003c\/strong\u003e Wide-angle cameras with bi-directional lighting\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Features:\u003c\/strong\u003e SLAM, autonomous navigation, terrain recognition\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGait Control:\u003c\/strong\u003e Adaptive gait adjustment for terrain type and payload\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnectivity:\u003c\/strong\u003e Gigabit Ethernet; RF image transmission capability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Support:\u003c\/strong\u003e OTA (Over-The-Air) update capability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMarket Position:\u003c\/strong\u003e Premier industrial-grade platform for extreme terrain applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDegrees of Freedom:\u003c\/strong\u003e 4 per leg (16 total) with wheel-leg hybrid actuation system\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLocomotion Modes:\u003c\/strong\u003e Pure wheeled, pure legged, and hybrid wheel-leg transition modes\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eRevolutionary Wheel-Leg Hybrid:\u003c\/strong\u003e Combines rolling efficiency of wheels with climbing agility of legs\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual 96-Line LiDAR:\u003c\/strong\u003e Industrial-grade 3D perception from two high-resolution sensors\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e360-Degree Omnidirectional Sensing:\u003c\/strong\u003e Complete environmental awareness for autonomous operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous SLAM:\u003c\/strong\u003e Real-time simultaneous localization and mapping capabilities\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Navigation:\u003c\/strong\u003e Self-directed path planning and obstacle avoidance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdaptive Terrain Recognition:\u003c\/strong\u003e Automatic gait adjustment for optimal performance\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExceptional Terrain Handling:\u003c\/strong\u003e 45° slopes, 25 cm stairs, 80 cm single steps\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMassive Payload Capacity:\u003c\/strong\u003e 15 kg effective load; up to 50 kg maximum capability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtended Operating Range:\u003c\/strong\u003e 15 km unloaded; 12 km with full payload\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLong Battery Life:\u003c\/strong\u003e 3 hours no-load operation; 2.5 hours with payload\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial IP66 Rating:\u003c\/strong\u003e Fully sealed against dust and water for harsh environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTemperature Hardened:\u003c\/strong\u003e Operates reliably from –20°C to +55°C\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMassive Computing Power:\u003c\/strong\u003e 48 CPU cores across triple octa-core processors\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise Storage:\u003c\/strong\u003e 384GB total distributed storage for mission data\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Camera System:\u003c\/strong\u003e Wide-angle vision with integrated bi-directional lighting\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLow-Light Vision:\u003c\/strong\u003e LED lighting enables operation in dark environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGigabit Ethernet:\u003c\/strong\u003e High-bandwidth networked communication for real-time streaming\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRF Image Transmission:\u003c\/strong\u003e Wireless video streaming capability for remote monitoring\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOTA Software Updates:\u003c\/strong\u003e Remote firmware and algorithm updates without physical access\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFast Charging:\u003c\/strong\u003e Single battery fully charged in 1.5 hours\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHot-Swappable Batteries:\u003c\/strong\u003e Quick battery replacement for extended missions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProfessional-Grade Construction:\u003c\/strong\u003e Industrial materials and engineering for extreme durability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Charging Capability:\u003c\/strong\u003e Docking station-based autonomous recharging (Pro version)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular Architecture:\u003c\/strong\u003e Expandable design for sensor and mission package additions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnterprise Support:\u003c\/strong\u003e Commercial-grade technical support and maintenance services\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTri-Mode Locomotion:\u003c\/strong\u003e Seamlessly switches between wheeled, legged, and hybrid gaits based on terrain classification\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e16-DOF Articulation:\u003c\/strong\u003e Four joints per leg provide full omnidirectional mobility and obstacle negotiation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 2; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Lynx M20 Pro autonomous operation and obstacle navigation\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776207344929-b727c1b1-0aa0-4fcc-89d2-54dc4d24cbbf.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 0 0 350px; order: 1;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lynx M20 Pro applications\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776207370869-38fbadcd-a58c-45c1-bb77-905fd53ccba5.jpg\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cp\u003eThe Lynx M20 Pro serves critical roles in industrial sectors where extreme terrain access, heavy payload capacity, and autonomous operation converge. Power grid operators deploy the platform for autonomous inspection of transmission tower infrastructure across mountainous terrain that is inaccessible to wheeled vehicles and dangerous for human inspectors. Emergency response teams use the Lynx M20 Pro for rapid hazard assessment in disaster zones, navigating debris fields, collapsed structures, and unstable surfaces while carrying sensor payloads for casualty detection and environmental monitoring.\u003c\/p\u003e\n\u003cp\u003eScientific exploration missions benefit from the platform's 15 km unloaded range and ability to traverse 45-degree slopes, enabling geological survey, environmental monitoring, and wildlife observation in remote wilderness areas. Mining and industrial site operators deploy the Lynx M20 Pro for continuous autonomous surveillance of quarries, construction zones, and hazardous material storage facilities where human presence carries unacceptable risk. The modular payload architecture supports mission-specific sensor packages including thermal imaging, gas detection, radiation monitoring, and high-resolution photogrammetry equipment.\u003c\/p\u003e\n\u003cp\u003eDefense and security organizations evaluate the Lynx M20 Pro for reconnaissance and tactical logistics in terrain too dangerous or inaccessible for personnel, leveraging the platform's ability to carry 15 kg sensor payloads across debris fields, steep slopes, and confined spaces while maintaining autonomous navigation capability via the onboard 48-core computing cluster.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eSetup and Getting Started\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 30px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; order: 1; min-width: 300px;\"\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eEstimated Setup Time:\u003c\/strong\u003e\u003cspan\u003e 1 to 2 hours depending on configuration and payload integration.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 1 - Unbox and Inspect:\u003c\/strong\u003e\u003cspan\u003e The Lynx M20 Pro is a larger industrial-grade wheeled-legged quadruped (33 kg total). Verify the robot unit, batteries, charger, and documentation. This platform supports up to 50 kg maximum payload.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 2 - Charge Batteries:\u003c\/strong\u003e\u003cspan\u003e Fully charge the hot-swappable batteries (approximately 1.5 hours). Runtime is up to 3 hours unloaded (15 km range) or 2.5 hours under load (12 km range).\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 3 - Power On:\u003c\/strong\u003e\u003cspan\u003e Place on flat ground with generous clearance (the robot measures 820 x 430 x 570 mm standing). Power on and allow the system to boot, including the 96-line LiDAR (360 x 90 degree field of view).\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 4 - Network Setup:\u003c\/strong\u003e\u003cspan\u003e Connect via WiFi or Ethernet. The Lynx supports ROS-compatible SDK for development.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cstrong\u003eStep 5 - Test Locomotion:\u003c\/strong\u003e\u003cspan\u003e The wheeled-legged hybrid handles 45-degree slopes, 25 cm continuous stairs, and single steps up to 80 cm. Maximum speed is 5 m\/s (2 m\/s recommended operating speed). Test on representative terrain.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli dir=\"ltr\" aria-level=\"1\"\u003e\u003cspan\u003e\u003cb id=\"docs-internal-guid-57a62fba-7fff-1800-6e31-d705a0e78e67\"\u003eOptional Features: \u003c\/b\u003eSelf-charging and modular expansion capabilities are available. Contact Deep Robotics for detailed integration guidance specific to your deployment scenario.\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 350px; order: 2;\"\u003e\u003cimg style=\"width: 100%; height: auto;\" alt=\"Deep Robotics Lynx M20 Pro setup and getting started\" src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776207431728-e308da27-b0e1-4d80-a9a9-02fb218a679a.jpg\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003chr\u003e\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cul style=\"list-style-type: none; padding-left: 0; margin-left: 0;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot Unit:\u003c\/strong\u003e Deep Robotics Lynx M20 Pro wheel-legged quadruped with full sensor integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLiDAR System:\u003c\/strong\u003e Twin 96-line LiDAR modules pre-integrated and factory-calibrated\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCamera System:\u003c\/strong\u003e Wide-angle cameras with bi-directional LED lighting pre-mounted\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputing Cluster:\u003c\/strong\u003e Triple octa-core processing units (48 total cores) pre-installed\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Packs:\u003c\/strong\u003e Multiple rechargeable lithium battery sets for extended field operations\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharger:\u003c\/strong\u003e Industrial-grade multi-bay charging station\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetwork Hardware:\u003c\/strong\u003e Gigabit Ethernet cables and RF transmission accessories\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRemote Control:\u003c\/strong\u003e Teleoperation interface for manual override and direct control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSoftware Suite:\u003c\/strong\u003e SLAM navigation, terrain recognition, and gait control algorithms pre-configured\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSDK Package:\u003c\/strong\u003e Full API documentation and development toolkit for customization\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePayload Interfaces:\u003c\/strong\u003e Modular mounting systems for mission-specific sensor packages\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eField Kit:\u003c\/strong\u003e Industrial-grade carrying case and deployment accessories\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTraining:\u003c\/strong\u003e On-site commissioning support and operator training\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocumentation:\u003c\/strong\u003e Comprehensive technical manuals, maintenance guides, and safety procedures\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eDocumentation and Resources\u003c\/h3\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eDeep Robotics GitHub Organization:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/\"\u003ehttps:\/\/github.com\/DeepRoboticsLab\/\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr\u003e\n\u003ch3\u003eWarranty Information\u003c\/h3\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eThis product is covered by a 12-Month Limited Warranty. The warranty covers defects in materials and workmanship under normal use.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eCovered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003eDeep Robotics Lynx M20 Pro: 12-Month (1-Year) Full-Unit Warranty\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eCore Components (battery, joints): 6-Month Warranty\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003ch4 dir=\"ltr\"\u003e\u003cspan\u003eNot Covered:\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from misuse, negligence, or unauthorized modification\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Normal wear and tear on consumable components\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Damage from use outside recommended operating conditions\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Unauthorized repairs or disassembly\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003eAll warranty claims require valid proof of purchase.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Deep Robotics","offers":[{"title":"Default Title","offer_id":43885857767512,"sku":"LX-200-00-07","price":61200.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/61uFokHKNlL._SL1500.jpg?v=1773870786"}],"url":"https:\/\/roboticsselect.com\/collections\/deep-robotics.oembed","provider":"RoboticsSelect","version":"1.0","type":"link"}