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TRON 2

LimX Dynamics

Bipedal

  • Multi-form embodied robot

  • Tri-form configurations: dual-arm / sole / wheeled

  • 7-DoF per arm; 5-DoF per leg

  • Dual-arm payload: up to 10 kg total

  • Battery: 46.8 V, 9 Ah

  • Charging: 20–80% in 30 min

  • Interfaces: Ethernet, USB 3.0, EtherCAT, RS485

  • Expansion power: 12 V / 24 V / 48 V

  • Ideal for embodied AI, teleoperation, research, manipulation, navigation, etc.

Price on request

  • Configurations: dual-arm, sole-foot, wheeled

  • Editions: Tron 2 Standard Edition, Tron 2 EDU Edition

  • Material: aluminum alloy + plastic

  • Degrees of freedom: 7 DoF per arm, 5 DoF per leg, 2 DoF active vision head

  • Dual-arm payload: max. 5 kg per arm / 10 kg total

  • End-effector performance: up to 5 m/s, up to 36 m/s², repeatability ±0.5 mm

  • Teleoperation: VR device support (Oculus Quest 3), teleoperation delay approx. 100 ms

  • Mobility modes: sole-foot and wheeled configurations

  • Movement speed: sole 2–3 m/s, wheeled 3–5 m/s

  • Terrain capability: sole up to 15° slope, wheeled up to 30° slope, obstacle height up to 20 cm

  • Load capacity: up to 30 kg on flat ground, up to 20 kg for stair climbing

  • Battery system: 46.8 V ternary lithium, 9 Ah, swappable battery support

  • Charging time: 20–80% in 30 min, 20–100% in 54 min

  • Sensors: waist RGB-D camera, IMU, optional head and wrist RGB-D cameras depending on configuration

  • Interfaces: 1× Ethernet, 1× USB 3.0, 2× EtherCAT, 1× RS485

  • Peripheral power: 12 V / 24 V / 48 V output ports

  • AI computing box: Intel Core i7-1165G7, 2 TB storage

  • Software support: Python, C++, ROS1, ROS2, SDK, simulation platform, robot/data management platform.

Designed for Your Scenario

LimX TRON 2 is a multi-form embodied robot that combines dual-arm manipulation, bipedal locomotion, and wheeled mobility in one modular platform. With integrated perception, open developer tools, and support for Python, C++, ROS, and simulation environments, it is well-suited for embodied AI, teleoperation, mobile manipulation, and sim-to-real research. Its modular design and EDU-oriented tooling also make it a strong choice for education, demonstrations, and rapid robotics prototyping.

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