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.rs-img-fit__in{position:static}.rs-pdp .rs-img-fit .rs-img-fit__in img{flex:none;height:auto}.rs-pdp .rs-row.rs-row--apps .rs-col-img{flex-basis:100%;max-width:none;min-width:0}}\n.rs-pdp{max-width:1500px;margin-left:auto;margin-right:auto}\n\u003c\/style\u003e\n\u003cdiv class=\"rs-pdp\"\u003e\n\u003ch2\u003eDeep Robotics Lite3 LiDAR\u003c\/h2\u003e\n\u003cp class=\"rs-eyebrow\"\u003eAt a glance\u003c\/p\u003e\n\u003cul class=\"rs-stats rs-cols-4 rs-t2-4 rs-t3-4 rs-t4-2 rs-t5-2\"\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-stat-l\"\u003eRated Payload\u003c\/span\u003e\u003cspan class=\"rs-stat-v\"\u003e2.5 kg\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-stat-l\"\u003eMax Speed\u003c\/span\u003e\u003cspan class=\"rs-stat-v\"\u003e2.5 m\/s\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-stat-l\"\u003eWeight\u003c\/span\u003e\u003cspan class=\"rs-stat-v\"\u003e13.5 kg\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-stat-l\"\u003eDegrees of Freedom\u003c\/span\u003e\u003cspan class=\"rs-stat-v\"\u003e12\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--center\"\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-text\"\u003e\n\u003cp\u003eThe Deep Robotics Lite3 LiDAR is the autonomous-navigation tier of the Lite3 line. It pairs the series' agile locomotion with a complete onboard perception stack: a wide-angle camera, dual ultrasonic radars, an Intel RealSense D435i depth camera, a LiDAR module, and an NVIDIA Jetson Xavier NX AI computer. It is built for autonomous-navigation, mapping, and perception research and development.\u003c\/p\u003e\n\u003cp\u003eBeyond the obstacle auto-stop, visual following, and forward obstacle avoidance found on the Pro, the LiDAR edition adds an Auto Mode for autonomous navigation, a LiDAR-exclusive capability run through Deep Robotics' perception development resources. A Livox or Leishen LiDAR module enables 3D mapping, with Faster-LIO SLAM and the Nav2 navigation stack pre-configured. It uses Flat, RUG, Grip, and H-Step gaits across slopes, grass, and uneven steps.\u003c\/p\u003e\n\u003cp\u003eIt climbs 40 degree slopes and steps up to 15 cm, or up to 18 cm in AI Motion Mode, carries a 2.5 kg payload, and runs 1.5 to 2 hours with about 2.7 km of range. The standing height with LiDAR is 496 mm and weight is 13.5 kg. The LiDAR edition runs Ubuntu 20.04 with ROS1 and ROS2 and provides open SDK and API access. It is rated for 0 to 40 degrees Celsius indoor and controlled outdoor use.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-img\"\u003e\u003cimg alt=\"Deep Robotics Lite3 LiDAR quadruped robot\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773881983371-a4b517dc-598b-47b4-9645-90731cb1cbd2.png\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eSpecifications\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--top\"\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-text\"\u003e\u003ctable class=\"rs-spec\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"rs-group\"\u003e\u003cth colspan=\"2\"\u003eConfiguration\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eDimensions (Standing, with LiDAR)\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e610 x 370 x 496 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eWeight\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e13.5 kg (including battery and LiDAR)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eRated Payload\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e2.5 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eMax Range\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e2.7 km (LiDAR-equipped configuration)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003ePerception Host\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eNVIDIA Jetson Xavier NX\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eLiDAR\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eLivox or Leishen LiDAR module for 3D mapping\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eDepth Camera\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eIntel RealSense D435i\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eAdditional Sensors\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eWide-angle camera; dual ultrasonic radars\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eAutonomy\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eForward obstacle avoidance; Auto Mode for autonomous navigation (LiDAR-exclusive)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eSLAM and Navigation\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eFaster-LIO SLAM and Nav2 navigation stack, pre-configured\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"rs-group\"\u003e\u003cth colspan=\"2\"\u003eLocomotion\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eDegrees of Freedom\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e12 (3 joints per leg)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eMax Speed\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e2.5 m\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eMax Slope\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e40 degrees\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eMax Step Height\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e15 cm standard; up to 18 cm in AI Motion Mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eJoint Torque\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e50 percent higher than the previous generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eSelf-Recovery\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eAutomatic righting after a fall\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"rs-group\"\u003e\u003cth colspan=\"2\"\u003ePower and Endurance\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eEndurance\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e1.5 to 2 hours continuous operation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eBattery\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eHot-swappable, quick-release\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e0 to 40 degrees C (indoor and controlled outdoor)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eOvertemperature Protection\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eStops and lies down if motors overheat\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"rs-group\"\u003e\u003cth colspan=\"2\"\u003eComputing and Development\u003c\/th\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eMotion Host\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eRK3588 ARM processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eControl Frequency\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eUp to 1 kHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eIMU\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003e9-axis inertial measurement unit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eOperating System\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eUbuntu 20.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eROS Support\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eROS1 (Noetic) and ROS2 (Foxy)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-k\"\u003eDevelopment Access\u003c\/td\u003e\n\u003ctd class=\"rs-v\"\u003eOpen SDK and API (C++ and Python); Motion SDK\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-img rs-img-stack rs-img-fit\"\u003e\u003cdiv class=\"rs-img-fit__in\"\u003e\n\u003cimg alt=\"Lite3 LiDAR configuration and sensors\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773882739797-a328bb4e-ece4-423b-92ee-a6ce21869941.png\" loading=\"lazy\"\u003e\u003cimg alt=\"Deep Robotics Lite3 LiDAR: product image\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/deep-robotics-lite3-quadruped-robot-lidar-sensor-autonomous-inspection-research.webp?v=1773870323\" loading=\"lazy\"\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--top\"\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-text\"\u003e\n\u003cul class=\"rs-feat-grid rs-cols-2 rs-t2-2 rs-t3-1 rs-t4-1 rs-t5-1\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutonomous Navigation\u003c\/strong\u003eA LiDAR-exclusive Auto Mode enables autonomous navigation, with Faster-LIO SLAM and the Nav2 stack pre-configured.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3D Mapping\u003c\/strong\u003eA Livox or Leishen LiDAR module, combined with the RealSense depth camera, supports 3D mapping, localization, and environmental reconstruction.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFull Perception Stack\u003c\/strong\u003eWide-angle camera, dual ultrasonic radars, depth camera, LiDAR, and an NVIDIA Jetson Xavier NX AI computer.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eForward Obstacle Avoidance\u003c\/strong\u003eDetects and routes around obstacles in its path, in addition to obstacle auto-stop and visual following.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMulti-Terrain Gaits\u003c\/strong\u003eFlat, RUG, Grip, and H-Step gaits handle slopes, grass, and uneven steps; steps up to 18 cm in AI Motion Mode.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpen Development Stack\u003c\/strong\u003eUbuntu 20.04 with ROS1 and ROS2, plus open SDK and API access for navigation and mapping research.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-img\"\u003e\u003cimg alt=\"Lite3 LiDAR locomotion and control\" src=\"https:\/\/image2url.com\/r2\/default\/images\/1773879051843-ac8c2488-d050-47d1-8713-788bb58695c0.jpg\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eApplications\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--top rs-row--apps\"\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-text\"\u003e\n\u003cp\u003eThe Lite3 LiDAR suits labs and developers working on autonomous navigation and mapping with a legged platform: LiDAR SLAM, path planning with Nav2, and perception research in GPS-denied or unstructured indoor environments. With its LiDAR, depth camera, and Jetson compute, it is the most capable perception configuration in the Lite3 line.\u003c\/p\u003e\n\u003cp\u003eIt is designed for indoor and controlled outdoor use, rated for 0 to 40 degrees Celsius, and is not weatherproof, so it is not intended for harsh industrial field deployment like the IP-rated X-series. Because the LiDAR and sensor package add weight, its rated payload (2.5 kg) and range (about 2.7 km) are lower than the lighter configurations.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-img\"\u003e\u003cimg alt=\"Lite3 LiDAR in a research and education setting\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/rs-pdp-deep-lite3-lidar-in-a-research-and-education-setting.jpg?v=1790748390\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eSetup and Getting Started\u003c\/h3\u003e\n\u003cdiv class=\"rs-row rs-row--top\"\u003e\n\u003cdiv style=\"order: 2;\" class=\"rs-col-text\"\u003e\u003col\u003e\n\u003cli\u003e\n\u003cstrong\u003eUnbox and inspect:\u003c\/strong\u003e Remove the robot, LiDAR, and sensor package and check for shipping damage.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharge the battery:\u003c\/strong\u003e Charge the hot-swappable battery fully before first use.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower on and pair the controller:\u003c\/strong\u003e Power the robot and pair the included gamepad controller.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConnect to the perception host:\u003c\/strong\u003e Access the Jetson Xavier NX and confirm the LiDAR, depth camera, and cameras are detected, following the user manual.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRun mapping and navigation:\u003c\/strong\u003e Launch the pre-configured Faster-LIO SLAM and Nav2 examples, and build a map of a test area.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTest Auto Mode safely:\u003c\/strong\u003e Validate autonomous navigation in a clear, mapped area within the rated limits.\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/div\u003e\n\u003cdiv style=\"order: 1;\" class=\"rs-col-img\"\u003e\u003cimg alt=\"Lite3 LiDAR setup and developer access\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/rs-pdp-deep-lite3-lidar-setup-and-developer-access.jpg?v=1790748389\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ch3\u003eWhat's Included\u003c\/h3\u003e\n\u003cul class=\"rs-check rs-check--2\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eRobot Unit\u003c\/strong\u003e (x1) \u003cspan style=\"color:#5f6b7a\"\u003eDeep Robotics Lite3 LiDAR quadruped with full perception stack and pre-installed firmware\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePerception Stack\u003c\/strong\u003e \u003cspan style=\"color:#5f6b7a\"\u003eLiDAR module, NVIDIA Jetson Xavier NX, Intel RealSense D435i, wide-angle camera, dual ultrasonic radars (installed)\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Pack\u003c\/strong\u003e (x1) \u003cspan style=\"color:#5f6b7a\"\u003eRechargeable hot-swappable battery\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharger\u003c\/strong\u003e (x1) \u003cspan style=\"color:#5f6b7a\"\u003eAC power adapter with regional plug\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eController\u003c\/strong\u003e (x1) \u003cspan style=\"color:#5f6b7a\"\u003eWireless gamepad controller\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocumentation\u003c\/strong\u003e \u003cspan style=\"color:#5f6b7a\"\u003eQuick-start guide, safety manual, and SDK, perception, and navigation references\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eDocumentation and Resources\u003c\/h3\u003e\n\u003cul class=\"rs-docs rs-cols-2 rs-t2-2 rs-t3-2 rs-t4-2 rs-t5-1\"\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-doc-t\"\u003eLite3 AI User Manual (PDF)\u003c\/span\u003e\u003ca href=\"https:\/\/www.deeprobotics.us\/wp-content\/uploads\/2025\/08\/Jueying-Lite3-AI-User-Manual-V1.0.3-0.pdf\" target=\"_blank\" rel=\"noopener\"\u003eDownload →\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cspan class=\"rs-doc-t\"\u003eDeveloper Resources (SDK and examples)\u003c\/span\u003e\u003ca href=\"https:\/\/github.com\/DeepRoboticsLab\/\" target=\"_blank\" rel=\"noopener\"\u003egithub.com\/DeepRoboticsLab →\u003c\/a\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWarranty Information\u003c\/h3\u003e\n\u003cp\u003eThe Lite3 LiDAR is covered by the following limited warranty. RoboticsSelect is an authorized Deep Robotics dealer, so warranty support is handled through us.\u003c\/p\u003e\n\u003ctable class=\"rs-warr\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eCoverage\u003c\/th\u003e\n\u003cth\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-term\"\u003eElectronics\u003c\/td\u003e\n\u003ctd\u003e1 year from the date of delivery\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"rs-term\"\u003eJoints, Legs, and Battery\u003c\/td\u003e\n\u003ctd\u003e6 months; reduced to 3 months once AI Motion Mode is unlocked\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003eNot Covered\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eShell and accessories\u003c\/li\u003e\n\u003cli\u003eDamage from misuse, negligence, or unauthorized modification\u003c\/li\u003e\n\u003cli\u003eNormal wear and tear on consumable components\u003c\/li\u003e\n\u003cli\u003eDamage from use outside recommended operating conditions, or unauthorized repair or disassembly\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eAll warranty claims require valid proof of purchase. Regional terms may vary.\u003c\/p\u003e\n\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","url":"https:\/\/roboticsselect.com\/products\/deep-robotics-lite3-lidar","provider":"RoboticsSelect","version":"1.0","type":"link"}