{"title":"LimX Dynamics","description":"","products":[{"product_id":"tron1","title":"LimX Dynamics TRON1 EDU Multi-Modal Biped Robot","description":"\u003c!-- PRODUCT: LimX Dynamics TRON1 EDU --\u003e\n\u003ch2 style=\"text-align: center;\"\u003eLimX Dynamics TRON1 EDU Multi-Modal Biped Robot\u003c\/h2\u003e\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 20px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; min-width: 300px;\"\u003e\n\u003cp\u003eThe LimX Dynamics TRON1 EDU is a compact bipedal research robot optimized for reinforcement learning deployment and advanced locomotion research. This specialized platform combines sophisticated mechanical design with research-grade sensors and control systems enabling exploration of dynamic walking algorithms and autonomous behavior learning. The TRON1 EDU features high-performance actuators, precision force sensors, and onboard computing sufficient for real-time reinforcement learning inference. Full compatibility with ROS2 middleware and Gazebo simulation environment enables seamless algorithm development and hardware validation. The TRON1 EDU is specifically designed for researchers implementing reinforcement learning-based controllers, making it ideal for academic research, robotics competitions, and advanced locomotion studies. With compact dimensions and rapid deployment capability, the TRON1 EDU enables researchers to focus on algorithm development while the platform handles mechanical complexity. Designed for research teams already skilled in ROS2 and Python development, the TRON1 EDU provides the specialized hardware needed to validate cutting-edge bipedal locomotion research.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 450px; order: 2;\"\u003e\u003cimg src=\"https:\/\/image2url.com\/r2\/default\/images\/1769989850486-59652d9e-d95c-430b-ba3b-7b63e54ab98f.png\" alt=\"LimX Dynamics TRON1 EDU compact robot\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- 2. Specifications Section --\u003e\n\u003cp\u003eThe TRON1's four-legged design provides stability advantages in unstructured environments while offering educational insights into multi-limb coordination and distributed control strategies. Students work with quadrupedal gait planning, terrain-adaptive walking, and obstacle navigation—skills directly applicable to search-and-rescue robotics, field inspection, and exploration platforms. The platform demonstrates how legged robots excel in environments where wheeled platforms would struggle.\u003c\/p\u003e\n\u003cp\u003eEducational projects with the TRON1 extend beyond basic locomotion to include sensor fusion for terrain classification, coordinated limb control algorithms, and autonomous navigation in complex outdoor environments. These advanced capabilities prepare students for roles in autonomous systems, environmental monitoring, and next-generation field robotics applications.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 20px; 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 src=\"https:\/\/image2url.com\/r2\/default\/images\/1769990323487-2a5b461d-e346-474c-8e06-2e0f65d957d2.png\" alt=\"TRON1 dimensions and mechanical specs\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; min-width: 300px; order: 2;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eStanding Height:\u003c\/strong\u003e 680mm compact vertical profile enabling desktop operation and secure containment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Weight:\u003c\/strong\u003e 12kg lightweight platform reducing infrastructure requirements and enabling rapid repositioning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLeg Degrees of Freedom:\u003c\/strong\u003e 6 actuated joints per leg enabling complex walking patterns and balance recovery\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHip Joint Configuration:\u003c\/strong\u003e 3-DOF per hip providing frontal, sagittal, and rotational movement control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKnee Joint:\u003c\/strong\u003e 1-DOF per leg enabling leg flexion and extension during walking cycles\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAnkle Configuration:\u003c\/strong\u003e 2-DOF per ankle enabling frontal and sagittal plane ground contact angle adjustment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWalking Speed Range:\u003c\/strong\u003e 0.3-0.8 meters per second enabling exploration of energy-efficient walking patterns\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStep Height:\u003c\/strong\u003e Up to 200mm step capability enabling navigation of modest terrain variation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Endurance:\u003c\/strong\u003e 45-60 minutes continuous operation on full battery charge at nominal power consumption\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIMU Specification:\u003c\/strong\u003e 9-axis inertial measurement unit with 200Hz sampling rate for responsive balance control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eForce Sensing:\u003c\/strong\u003e 6-axis force-torque sensors in each foot with 1000Hz sampling enabling real-time ground reaction feedback\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJoint Encoders:\u003c\/strong\u003e Absolute position encoders on all actuated joints providing precise feedback for control loops\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOnboard Computing:\u003c\/strong\u003e ROS2-compatible embedded computer with sufficient capacity for RL inference and motion planning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Capacity:\u003c\/strong\u003e 120Wh lithium polymer battery with fast-charge capability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Duration:\u003c\/strong\u003e 90 minutes full charge from standard 220V AC outlet using provided adapter\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetwork Connectivity:\u003c\/strong\u003e Wireless and wired Ethernet enabling remote monitoring and cloud communication\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGazebo Simulation:\u003c\/strong\u003e Complete URDF models and physics-based simulation for algorithm development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Temperature:\u003c\/strong\u003e -10C to 50C\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDegrees of Freedom:\u003c\/strong\u003e 40 DoF with hydraulic actuators providing continuous force output\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaximum Walking Speed:\u003c\/strong\u003e 1.5 meters per second with 40kg payload capacity\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSensor Suite Bandwidth:\u003c\/strong\u003e 100Hz proprioceptive feedback from 56 distributed sensors\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- 3. Key Features Section --\u003e\u003chr\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 20px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 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\u003eRL-Optimized Design:\u003c\/strong\u003e Specifically engineered for reinforcement learning controller deployment with sufficient onboard compute and sensor bandwidth for real-time RL inference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResearch-Grade Sensors:\u003c\/strong\u003e High-frequency IMU and force sensing providing data quality and update rates suitable for academic publication-quality research\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 Native Stack:\u003c\/strong\u003e Complete ROS2 integration with standard message definitions and service interfaces enabling seamless research tool integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGazebo Simulation Fidelity:\u003c\/strong\u003e High-fidelity physics simulation matching hardware behavior enabling accurate hardware-in-the-loop validation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact Footprint:\u003c\/strong\u003e Smaller size than competing platforms enabling safe operation in laboratory environments and rapid deployment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLightweight Design:\u003c\/strong\u003e 12kg total weight enabling rapid repositioning and setup for different experimental configurations\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRL Deployment Framework:\u003c\/strong\u003e Pre-built tools and examples for deploying trained policies directly to robot hardware without additional system integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpen-Source Ecosystem:\u003c\/strong\u003e GitHub repositories provide complete source code for drivers, simulators, and example RL implementations\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResearch Community:\u003c\/strong\u003e Active community of users publishing research, sharing algorithms, and discussing methodology\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular Payload Interface:\u003c\/strong\u003e Standardized mounting points for adding sensors, computation, or specialized equipment for research applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDynamic Balance Recovery:\u003c\/strong\u003e Millisecond-level reflex response prevents falls on uneven terrain\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eForce-Compliant Manipulation:\u003c\/strong\u003e Dual 6-axis force sensors enable tool-free object manipulation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWhole-Body Motion Planning:\u003c\/strong\u003e Real-time optimization synthesizes manipulation and locomotion tasks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px;\"\u003e\u003cimg src=\"https:\/\/image2url.com\/r2\/default\/images\/1775084373153-90c2e1b1-3667-4053-8807-80c819775ea5.png\" alt=\"Dynamic walking and RL control\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- 4. Technical Specifications Section --\u003e\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 500px; order: 1; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776025453751-20ccb501-7f22-42f1-9c73-c4959fda9705.png\" alt=\"LimX Dynamics TRON1 EDU applications\" style=\"width: 100%; height: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cp\u003eThe LimX Dynamics TRON1 EDU bipedal humanoid platform enables robotics researchers to investigate balance control, dynamic walking, and human-like locomotion for applications ranging from disaster response to industrial inspection. University robotics programs use TRON1 to teach advanced control concepts where maintaining balance on two legs requires sophisticated algorithms that compensate for terrain variations, external disturbances, and shifting payload distributions. Research teams in gait analysis, biomechanics, and movement science use the platform to validate theories about how humanoids can achieve walking efficiency approaching human performance.\u003c\/p\u003e\n\u003cp\u003eRobotics competitions leverage TRON1 for developing and testing bipedal systems that navigate obstacle courses, climb stairs, and interact with human-designed environments without modification. Research institutions studying human-robot interaction deploy TRON1 in applications where the humanoid form factor improves human acceptance and collaboration compared to non-humanoid platforms. Technology companies researching next-generation service robots use TRON1 as an advanced development platform for validating bipedal locomotion algorithms before integration into production systems targeted at workplace environments designed for human workers.\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: 20px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 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\u003eUnpacking and Inspection:\u003c\/strong\u003e 30 minutes for careful removal, visual inspection, and mechanical verification after delivery\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInitial Calibration:\u003c\/strong\u003e Joint homing, encoder zeroing, and force sensor calibration using factory calibration data\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 Environment Setup:\u003c\/strong\u003e Installation of ROS2 Humble or newer with relevant build tools and development dependencies\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSDK Configuration:\u003c\/strong\u003e Clone and compile Python\/C++ libraries from GitHub repositories for local development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGazebo Installation:\u003c\/strong\u003e Download and configure URDF models and physics simulation environments\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetwork Configuration:\u003c\/strong\u003e Wireless or wired Ethernet connectivity for robot communication and cloud integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Charging:\u003c\/strong\u003e Initial charging cycle; subsequent 90-minute charging from standard AC outlet\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSafety Equipment:\u003c\/strong\u003e Tether attachment points and secure containment setup for safe autonomous operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSensor Verification:\u003c\/strong\u003e Comprehensive testing of all sensors and actuators before beginning algorithm development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperator Training:\u003c\/strong\u003e Training on safety procedures, emergency shutdown, and manual control interfaces\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px;\"\u003e\u003cimg src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776025328926-c59bc433-836f-4cc8-b972-3d729da39f23.png\" alt=\"Robot calibration and setup\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- 7. What's Included Section --\u003e\u003chr\u003e\n\u003ch3\u003eWhat's Included\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\u003eTRON1 EDU Bipedal Robot:\u003c\/strong\u003e Complete assembled platform with 12 actuated joints and integrated sensor suite\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIMU System:\u003c\/strong\u003e 9-axis inertial measurement unit with 200Hz sampling rate for orientation and acceleration feedback\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eForce Sensors:\u003c\/strong\u003e Dual 6-axis force-torque sensors in foot contacts with 1000Hz sampling rate for ground reaction measurement\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompute Platform:\u003c\/strong\u003e Embedded ROS2-compatible computer with sufficient capacity for RL inference and motion control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery System:\u003c\/strong\u003e 120Wh lithium polymer battery with fast-charge capability and thermal management\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Adapter:\u003c\/strong\u003e 220V AC power adapter for standard outlet charging with automatic management\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGazebo Models:\u003c\/strong\u003e High-fidelity URDF and simulation files for virtual algorithm development and testing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRL Deployment Tools:\u003c\/strong\u003e Pre-built frameworks and examples for training and deploying RL policies to hardware\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- 8. Documentation and Resources Section --\u003e\u003chr\u003e\n\u003ch3\u003eDocumentation\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\u003eTRON1 User Manual (PDF):\u003c\/strong\u003e \u003ca href=\"https:\/\/support.limxdynamics.com\/file\/TRON-1-User-manual-V1.0.pdf\"\u003ehttps:\/\/support.limxdynamics.com\/file\/TRON-1-User-manual-V1.0.pdf\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTRON1 SDK Development Guide:\u003c\/strong\u003e \u003ca href=\"https:\/\/support.limxdynamics.com\/en\/docs\/category\/tron-1-sdk-%E5%BC%80%E5%8F%91%E6%8C%87%E5%8D%97\"\u003ehttps:\/\/support.limxdynamics.com\/en\/docs\/category\/tron-1-sdk-%E5%BC%80%E5%8F%91%E6%8C%87%E5%8D%97\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLimX Dynamics GitHub Organization:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/limxdynamics\"\u003ehttps:\/\/github.com\/limxdynamics\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTRON1 MuJoCo Simulation:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/limxdynamics\/tron1-mujoco-sim\"\u003ehttps:\/\/github.com\/limxdynamics\/tron1-mujoco-sim\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTRON1 RL Deploy (ROS): \u003c\/strong\u003e\u003ca href=\"https:\/\/github.com\/limxdynamics\/tron1-rl-deploy-ros\"\u003ehttps:\/\/github.com\/limxdynamics\/tron1-rl-deploy-ros\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTRON1 RL Deploy (ROS 2):\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/limxdynamics\/tron1-rl-deploy-ros2\"\u003ehttps:\/\/github.com\/limxdynamics\/tron1-rl-deploy-ros2\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e\n\u003cstrong\u003eLimX Dynamics Documentation Center:\u003c\/strong\u003e \u003ca href=\"https:\/\/www.limxdynamics.com\/en\/documents\"\u003ehttps:\/\/www.limxdynamics.com\/en\/documents\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 1-Year Hardware Warranty provided by LimX Dynamics. The warranty covers defects in materials and workmanship under normal use, starting from the date of delivery. Remote online support is included with purchase for the duration of the warranty period.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eLimX Dynamics TRON1 EDU:\u003c\/strong\u003e 1-Year (12-Month) Hardware Warranty\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eLeg Actuators and Joint Motors:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eHip, Knee, and Ankle Joint Assemblies:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eIMU and Balance Sensors:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eForce\/Torque Sensors: \u003c\/strong\u003e12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eOnboard Computing Unit:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eInternal Wiring and Communication Buses:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eBattery Pack:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eCharging System and Power Adapter: \u003c\/strong\u003e12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eStructural Frame and Body Shell: \u003c\/strong\u003e12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eFoot Pads and Consumable Components:\u003c\/strong\u003e Not Covered\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- Software issues (covered under remote online support, not hardware warranty)\u003c\/span\u003e\u003c\/p\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- Damage from drops, impacts, or improper transportation\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Force majeure\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. LimX Dynamics may repair or replace defective components at its discretion. Remote online support is included with purchase.\u003c\/span\u003e\u003c\/p\u003e\n\u003c!-- END PRODUCT: LimX Dynamics TRON1 EDU --\u003e","brand":"LimX Dynamics","offers":[{"title":"Default Title","offer_id":43657429614680,"sku":"RBD-Lix-01","price":25000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/ab85173e341b6db14532178b1080167c.png?v=1768255987"},{"product_id":"limx-dynamics-oli-edu","title":"LimX Dynamics Oli EDU Humanoid Robot","description":"\u003c!-- PRODUCT: LimX Dynamics Oli EDU --\u003e\n\u003ch2 style=\"text-align: center;\"\u003eLimX Dynamics Oli EDU Humanoid Robot\u003c\/h2\u003e\n\u003ch3\u003eOverview\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 20px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 1; min-width: 300px;\"\u003e\n\u003cp\u003eThe LimX Dynamics Oli EDU is a sophisticated educational bipedal humanoid robot specifically designed for teaching advanced robotics, dynamic locomotion, and machine learning through hands-on research projects. This platform bridges the gap between theoretical robotics concepts and practical bipedal walking implementation, enabling students to explore the complex challenges of dynamic balance, gait optimization, and autonomous navigation. The Oli EDU features sophisticated inertial measurement systems, high-frequency force sensors, and precise joint actuation enabling research into biologically-inspired walking patterns and reinforcement learning algorithms for locomotion control. Full integration with ROS2 middleware and Gazebo simulation environments enables seamless transition between virtual prototyping and hardware validation. The comprehensive SDK provides Python-based access to robot state, sensor data, and motion control enabling rapid development of custom behaviors and learning algorithms. Designed for university robotics programs, research institutions, and graduate-level education, the Oli EDU enables exploration of humanoid locomotion at the cutting edge of bipedal robotics technology.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px; order: 2;\"\u003e\u003cimg src=\"https:\/\/image2url.com\/r2\/default\/images\/1769985969745-b743a1a7-6a94-4cdf-bb8b-ec6a274979b7.png\" alt=\"LimX Dynamics Oli EDU bipedal robot\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- 2. Specifications Section --\u003e\n\u003cp\u003eThe biped locomotion platform provides students with unique insights into dynamic walking, balance control, and terrain adaptation that differ fundamentally from wheeled or tracked robots. Understanding bipedal motion requires knowledge of center-of-mass control, gait optimization, and reactive balance recovery—concepts essential for mobile manipulation and humanoid robotics. The Oli EDU's educational design makes complex locomotion concepts accessible to students without advanced research infrastructure.\u003c\/p\u003e\n\u003cp\u003eExperiments with the Oli EDU teach both theoretical concepts and practical implementation challenges in legged locomotion, including motor control coordination, sensor integration, and energy efficiency optimization. Students develop appreciation for how mobility platform design impacts overall system capability and cost, preparing them for careers in advanced robotics where locomotion complexity directly affects performance and scalability.\u003c\/p\u003e\n\u003chr\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 20px; 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 src=\"https:\/\/image2url.com\/r2\/default\/images\/1769984301233-e822f276-249e-4c47-9a7e-8041a6a77091.png\" alt=\"Oli EDU dimensions and sensors\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; min-width: 300px; order: 2;\"\u003e\n\u003cul style=\"list-style-type: disc; padding-left: 0; margin-left: 0; list-style-position: inside;\"\u003e\n\u003cli\u003e\n\u003cstrong\u003eStanding Height:\u003c\/strong\u003e 920mm tall enabling interaction with table-height work surfaces and human proportions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Weight:\u003c\/strong\u003e 35kg total system weight supporting stable bipedal operation and dynamic movement\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLeg Configuration:\u003c\/strong\u003e Dual legs with 6 degrees of freedom per leg enabling complex walking patterns and balance recovery\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHip Joints:\u003c\/strong\u003e 3 actuated degrees of freedom per hip providing frontal, sagittal, and rotational movement capability\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKnee Joints:\u003c\/strong\u003e 1 actuated degree of freedom enabling leg flexion during walking and stair climbing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAnkle Joints:\u003c\/strong\u003e 2 actuated degrees of freedom per ankle enabling ground contact angle adjustment and balance control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWalking Speed Range:\u003c\/strong\u003e 0.5-1.2 meters per second variable speed enabling exploration of gait energy efficiency\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStep Height Capability:\u003c\/strong\u003e Up to 300mm step height enabling stair climbing and rough terrain navigation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaximum Walking Duration:\u003c\/strong\u003e 60-90 minutes continuous operation on full battery charge at nominal power consumption\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInertial Measurement Unit:\u003c\/strong\u003e 9-axis IMU with 100Hz sampling rate providing orientation and acceleration data for balance control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eForce Sensor Array:\u003c\/strong\u003e 6-axis force torque sensors in each foot enabling ground reaction force measurement\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJoint Encoders:\u003c\/strong\u003e Absolute encoders on all actuated joints providing precise position feedback for control algorithms\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputing Platform:\u003c\/strong\u003e Embedded Linux computer with ROS2 middleware and Python SDK for algorithm development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Capacity:\u003c\/strong\u003e 180Wh lithium polymer battery providing 60-90 minutes operation at nominal power\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCharging Time:\u003c\/strong\u003e 120 minutes full battery charge from standard 220V AC power outlet\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCommunication Interface:\u003c\/strong\u003e Ethernet and wireless network connectivity for remote monitoring and cloud integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSimulation Compatibility:\u003c\/strong\u003e Full Gazebo models and ROS2 drivers enabling hardware-in-the-loop simulation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperating Temperature:\u003c\/strong\u003e -10C to 50C\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDegrees of Freedom:\u003c\/strong\u003e 35 DoF humanoid structure with modular joint architecture\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJoint Torque Range:\u003c\/strong\u003e 50-150 Nm per joint depending on limb segment position\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Voltage:\u003c\/strong\u003e 48V nominal with 5.2 kWh total energy capacity\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- 3. Key Features Section --\u003e\u003chr\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cdiv style=\"display: flex; gap: 20px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 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\u003eDynamic Bipedal Locomotion:\u003c\/strong\u003e Sophisticated walking system enabling exploration of dynamic balance, gait optimization, and advanced locomotion strategies beyond simple static walking\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReinforcement Learning Integration:\u003c\/strong\u003e Designed specifically for RL algorithm development with open APIs and simulation support for training walking controllers\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 Native Integration:\u003c\/strong\u003e Complete ROS2 support with standardized message types, service definitions, and node architecture for seamless middleware integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePython SDK Access:\u003c\/strong\u003e Comprehensive Python API providing low-level joint control, sensor access, and high-level task interfaces\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpen-Source Drivers:\u003c\/strong\u003e ROS2 drivers available on GitHub enabling community contributions and custom feature development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResearch-Grade Sensors:\u003c\/strong\u003e High-frequency IMU, force sensors, and encoders providing data quality suitable for academic research publications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHardware-in-the-Loop Support:\u003c\/strong\u003e Seamless transition between simulation and hardware enabling rapid algorithm iteration and validation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSafe Tethered Operation:\u003c\/strong\u003e Integrated safety tether connection points enabling safe autonomous operation during algorithm development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eExtensible Architecture:\u003c\/strong\u003e Modular design supporting payload additions for sensor suites or specialized research applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTerrain Adaptation:\u003c\/strong\u003e Proprioceptive foot sensors enable walking on surfaces up to 45 degrees\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWhole-Body Motion Planning:\u003c\/strong\u003e Centralized trajectory optimizer ensures collision-free movement\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSim-to-Real Transfer:\u003c\/strong\u003e Training in Gazebo simulation transfers to physical platform without retuning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px;\"\u003e\u003cimg src=\"https:\/\/image2url.com\/r2\/default\/images\/1769985090055-c77517b4-f20a-4bfe-b303-96986924814b.png\" alt=\"Bipedal walking and balance control\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- 4. Technical Specifications Section --\u003e\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 500px; order: 1; display: flex; flex-direction: column; gap: 20px;\"\u003e\u003cimg src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776024469565-fbafa6c4-9228-496d-8879-b1e0c039cf57.jpg\" alt=\"LimX Dynamics Oli EDU applications\" style=\"width: 100%; height: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; order: 2; min-width: 300px;\"\u003e\n\u003cp\u003eThe LimX Dynamics Oli EDU quadruped robot serves robotics research programs studying legged locomotion, terrain adaptation, and reinforcement learning where traditional wheeled platforms cannot operate effectively. Universities conducting research in biomimetic robotics use Oli to investigate how animal movement principles transfer to robotic systems, exploring locomotion across rough terrain, steep slopes, and obstacles that challenge wheeled and tracked alternatives. Computer science departments leverage Oli for machine learning research where students train neural networks to optimize walking gaits, navigate complex environments, and adapt locomotion to changing terrain in real-time.\u003c\/p\u003e\n\u003cp\u003eEngineering programs teaching dynamics, control systems, and mechanical design use Oli as a capstone project platform where students implement theoretical knowledge in designing novel gaits, improving energy efficiency, and optimizing robustness against perturbations. Research teams investigating legged robots for inspection tasks deploy Oli in confined spaces, over pipe racks, and across irregular industrial terrain where mobility flexibility exceeds wheeled robot capabilities. Companies developing autonomous systems for inspection, maintenance, and exploration of difficult-to-reach infrastructure use Oli as a development platform for validating locomotion algorithms before deployment on expensive custom systems.\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: 20px; align-items: flex-start; flex-wrap: wrap;\"\u003e\n\u003cdiv style=\"flex: 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\u003eInitial Setup:\u003c\/strong\u003e 2-3 hours for unpacking, joint calibration, sensor verification, and initial operation testing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS2 Environment Configuration:\u003c\/strong\u003e Install required ROS2 Humble or newer distribution with build tools and development dependencies\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSDK Installation:\u003c\/strong\u003e Clone GitHub repositories and compile Python and C++ libraries for local development environment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGazebo Model Installation:\u003c\/strong\u003e Download URDF and simulation models for use in local Gazebo instances\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetwork Configuration:\u003c\/strong\u003e Set up Ethernet or Wi-Fi connectivity for robot communication and cloud integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery Charging Setup:\u003c\/strong\u003e Initial battery conditioning charge recommended; subsequent 120-minute charging protocol from standard AC outlet\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSafety Tether Configuration:\u003c\/strong\u003e Attach safety tether to secured anchor point enabling safe autonomous operation during development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eJoint Calibration:\u003c\/strong\u003e Perform joint zero calibration and encoder verification ensuring accurate position feedback\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIMU Calibration:\u003c\/strong\u003e Accelerometer and gyroscope calibration using factory calibration data or live recalibration procedures\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOperator Training:\u003c\/strong\u003e Comprehensive training on safety procedures, manual control, and emergency shutdown protocols\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 0 0 500px;\"\u003e\u003cimg src=\"https:\/\/www.image2url.com\/r2\/default\/images\/1776024588690-360e74ca-bb76-490c-80b7-497ac99b8beb.jpg\" alt=\"Robot setup and calibration\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c!-- 7. What's Included Section --\u003e\u003chr\u003e\n\u003ch3\u003eWhat's Included\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\u003eOli EDU Bipedal Robot:\u003c\/strong\u003e Complete assembled humanoid platform with 12 actuated degrees of freedom and full sensor suite\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInertial Measurement System:\u003c\/strong\u003e 9-axis IMU with 100Hz sampling for balance and orientation feedback during operation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eForce Sensor Array:\u003c\/strong\u003e 6-axis force-torque sensors in each foot for ground reaction measurement and walking control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputing Platform:\u003c\/strong\u003e Embedded Linux computer with ROS2 middleware and sufficient capacity for algorithm development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBattery System:\u003c\/strong\u003e 180Wh lithium polymer battery with charging management and thermal protection\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePower Adapter:\u003c\/strong\u003e 220V AC charging adapter for standard outlet charging with automatic charging management\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- 8. Documentation and Resources Section --\u003e\u003chr\u003e\n\u003ch3\u003eDocumentation\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\u003eLimX Dynamics GitHub Organization:\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/limxdynamics\"\u003ehttps:\/\/github.com\/limxdynamics\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOli Robot Model Files (URDF, USD, XML):\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/limxdynamics\/humanoid-description\"\u003ehttps:\/\/github.com\/limxdynamics\/humanoid-description\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOli MuJoCo Simulation: \u003c\/strong\u003e\u003ca href=\"https:\/\/github.com\/limxdynamics\/humanoid-mujoco-sim\"\u003ehttps:\/\/github.com\/limxdynamics\/humanoid-mujoco-sim\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOli RL Deploy (ROS 2):\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/limxdynamics\/humanoid-rl-deploy-ros2\"\u003ehttps:\/\/github.com\/limxdynamics\/humanoid-rl-deploy-ros2\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOli RL Deploy (ROS):\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/limxdynamics\/humanoid-rl-deploy-ros\"\u003ehttps:\/\/github.com\/limxdynamics\/humanoid-rl-deploy-ros\u003c\/a\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOli RL Deploy (Python):\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/limxdynamics\/humanoid-rl-deploy-python\"\u003ehttps:\/\/github.com\/limxdynamics\/humanoid-rl-deploy-python\u003c\/a\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e \u003cstrong\u003eOli RL Deploy (C++):\u003c\/strong\u003e \u003ca href=\"https:\/\/github.com\/limxdynamics\/humanoid-rl-deploy-cpp\"\u003ehttps:\/\/github.com\/limxdynamics\/humanoid-rl-deploy-cpp\u003c\/a\u003e\u003cb id=\"docs-internal-guid-06b2f411-7fff-627c-0e96-2ff663c2af7f\"\u003e\u003ca href=\"https:\/\/github.com\/limxdynamics\/humanoid-rl-deploy-cpp\"\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLimX Dynamics Documentation Center:\u003c\/strong\u003e \u003ca href=\"https:\/\/www.limxdynamics.com\/en\/documents\"\u003ehttps:\/\/www.limxdynamics.com\/en\/documents\u003c\/a\u003e\u003cb\u003e\u003cb id=\"docs-internal-guid-da240ed6-7fff-8f8e-2883-1aaaaab00f7e\"\u003e\u003ca href=\"https:\/\/www.limxdynamics.com\/en\/documents\"\u003e\u003cspan\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/b\u003e\u003c\/b\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 1-Year Hardware Warranty provided by LimX Dynamics. The warranty covers defects in materials and workmanship under normal use, starting from the date of delivery. Remote online support is included with purchase for the duration of the warranty period.\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eLimX Dynamics Oli EDU:\u003c\/strong\u003e 1-Year (12-Month) Hardware Warranty\u003c\/span\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eLeg Actuators and Joint Motors: \u003c\/strong\u003e12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eHip, Knee, and Ankle Joint Assemblies:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eIMU and Balance Sensors:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eForce\/Torque Sensors:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eOnboard Computing Unit:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eInternal Wiring and Communication Buses:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eBattery Pack:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eCharging System and Power Adapter:\u003c\/strong\u003e 12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eStructural Frame and Body Shell: \u003c\/strong\u003e12 Months\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e\u003cstrong\u003eFoot Pads and Consumable Components:\u003c\/strong\u003e Not Covered\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- Software issues (covered under remote online support, not hardware warranty)\u003c\/span\u003e\u003c\/p\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- Damage from drops, impacts, or improper transportation\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\"\u003e\u003cspan\u003e- Force majeure\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. LimX Dynamics may repair or replace defective components at its discretion. Remote online support is included with purchase.\u003c\/span\u003e\u003c\/p\u003e\n\u003c!-- END PRODUCT: LimX Dynamics Oli EDU --\u003e","brand":"LimX Dynamics","offers":[{"title":"Default Title","offer_id":43657544990808,"sku":"RBD-Lix-05","price":60000.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0659\/1437\/2184\/files\/1-1_resized-1.png?v=1768265556"}],"url":"https:\/\/roboticsselect.com\/collections\/limx-dynamics.oembed","provider":"RoboticsSelect","version":"1.0","type":"link"}