LimX Dynamics TRON 2 Multi-Form Embodied Robot Dual arms. Bipedal legs. Wheeled mobility. One platform for all of it. The TRON 2 is LimX Dynamics' most capable research platform — a tri-form embodied robot that combines 7-DoF dual arms, bipedal locomotion, and wheeled mobility in a single modular system configurable for manipulation research, mobile robotics, and VLA development. With a 30kg payload capacity, ±0.5mm repeat positioning accuracy, a native VLA data pipeline, and an AI computing box powered by an Intel i7 processor with 2TB storage, the TRON 2 is built for researchers and development teams ready to move beyond simulation and into real-world embodied AI deployment. 7-DoF arms with the largest workspace in its class. Each arm delivers a 70cm reach, 5kg end-effector load at maximum range, 5m/s maximum speed, and 20N gripping force — with a spherical human-like wrist for agile wide-range operation. Dual redundant power design keeps arms locked in position even during power loss, and active safety boundary protection prevents collision damage during teleoperation. Tri-form mobility — reconfigure for any mission. Sole bipedal mode handles stairs and dynamic environments at up to 3m/s with 20cm step clearance; wheeled mode reaches 5m/s on flat terrain with a 30kg payload and auto-recharging capability. Switch between configurations to match the research task without changing platforms. Native VLA pipeline from data to deployment. An integrated all-in-one data acquisition and management system covers collection, cleaning, annotation, training, inference, and task management in a single workflow. Preloaded with standard algorithm tasks including ACT and Pi0.5, with 20+ example tutorials and open-sourced real-world datasets — designed to get researchers from unboxing to running experiments in under 2 hours. Fully open, Python and ROS native. Complete SDK access, full high and low-level hardware interface, ROS1/ROS2 compatibility, clear URDF for optimised Sim2Real performance, and support for NVIDIA Isaac Sim, MuJoCo, and Gazebo — with ongoing updates via GitHub. Specifications Category Details Configurations Dual Arms / Sole (Bipedal) / Wheeled — tri-form modular Material Aluminium alloy + plastic Degrees of Freedom — Single Arm 7 DoF Degrees of Freedom — Single Leg 5 DoF Degrees of Freedom — Active Vision Head 2 DoF Max End-Effector Load 5kg (max) / 3kg (extended reach) per arm Max End-Effector Speed 5 m/s Max End-Effector Acceleration 36 m/s² Repeat Positioning Accuracy ±0.5 mm Teleoperation Delay 100 ms Teleoperation Method VR — Oculus Quest 3 End Effector Options Gripper / Dexterous hand Gripper Force / Width 20N max / 85mm Max Speed — Sole 2–3 m/s Max Speed — Wheeled 3–5 m/s Max Climbing Slope — Sole 15° Max Climbing Slope — Wheeled 30° Max Step Height 20 cm Max Load — Flat Ground 30 kg Max Load — Stair Climbing 20 kg Battery Voltage 46.8V Battery Capacity 9 Ah Maximum Battery Power 2,800W Battery Type Ternary lithium — swappable Charging Time (20–80%) 30 minutes Charging Time (20–100%) 54 minutes Charging Power 542W AI Computing CPU 11th Gen Intel Core i7-1165G7 @ 2.80GHz Storage 2TB Sensors — Standard IMU + Waist RGBD Camera Sensors — Dual-Arms Config Head RGBD Camera + Wrist RGBD Camera Communication Ports Ethernet ×1, USB 3.0 ×1, EtherCAT ×2, RS485 ×1 AI Box Interfaces 4× ETH, 4× USB 3.0, 1× 24V input, 1× 12V output Power Output Ports 12V / 24V / 48V — 1 port each Software Python, C++, ROS1/ROS2 Simulation Platforms NVIDIA Isaac Sim, MuJoCo, Gazebo SDK Fully open — high and low level access Editions EDU / Standard
