LimX Dynamics TRON 2 EDU 3-in-1 Embodied Robot (US)

• LimX Dynamics TRON 2 EDU 3-in-1 Embodied Robot (US)
• Three freely switchable configurations: Dual Arm manipulation, Wheeled Legs, and Sole bipedal locomotion
• Dual 7-DoF arms with 10 kg combined payload and 100 ms VR teleoperation latency via Oculus Quest 3
• Intel Core i7-1165G7 AI computing module with 2 TB storage and full ROS1/ROS2 support
• Multi-position RGB-D perception at head, waist, and wrist with full-field camera coverage
• Native VLA platform with 10,000+ open-sourced real-world datasets and ACT/Pi 0.5 classic models
• Python and C++ SDK compatible with NVIDIA Isaac Sim, MuJoCo, and Gazebo simulators

LimX Dynamics TRON 2 EDU 3-in-1 Embodied Robot (US) is a modular multi-form robotics research platform developed by LimX Dynamics that combines high-performance dual-arm manipulation with all-terrain mobile locomotion across three freely interchangeable hardware configurations. Built on a single shared core system, the platform allows research teams and engineering organizations to operate in Dual Arm, Wheeled Legs, and Sole bipedal setups without requiring separate hardware platforms for each capability domain. The dual-arm system features precision 7-DoF arms with a spherical wrist design for wide-range workspace coverage, paired with active safety boundary protection and a dual redundant power design for reliable long-session operation. The platform is purpose-built for advanced robotics research labs, university engineering programs, and embodied AI development teams operating across varied real-world conditions.

Spatial awareness is delivered through a layered RGB-D sensor arrangement positioned at the head, waist, and wrist, providing full-field perception input for manipulation feedback and mobile navigation planning across all configurations. VR-based dual-arm teleoperation enables intuitive remote control with low latency, supporting structured demonstration recording for imitation and reinforcement learning research workflows. The integrated all-in-one VLA development platform consolidates data acquisition, annotation, model training, and task inference into a single interface, with a large library of open-sourced real-world datasets and preloaded classic models available from day one. With a fully open SDK, ROS1/ROS2 compatibility, and validated support for mainstream simulation environments, this autonomous robot platform is designed for embodied AI researchers, university laboratories, and industrial development organizations building next-generation robotic solutions.

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Model Features

Three hardware configurations in one modular system, each optimized for a distinct set of research and deployment capabilities.

Dual
Arms →

Dual Arms

Manipulation

Arm DoF: 7 per arm

Combined Payload: 10 kg (5 kg per arm extended)

Arm Reach: 70 cm

Repeatability: ±0.5 mm

Teleoperation Latency: 100 ms

Wheeled
Legs →

Wheeled Legs

All-Terrain Mobility

Max Speed: 5 m/s

Max Incline: 30°

Ground Payload: 30 kg

Step Clearance: 20 cm

Auto-Recharging: Supported

Sole →

Sole

Bipedal Locomotion

Max Speed: 3 m/s

Max Incline: 15°

Stair Payload: 20 kg

Step Clearance: 20 cm

Supports stair climbing with visual navigation input.

Capabilities

One modular platform delivers arm manipulation, wheeled high-speed traversal, and bipedal locomotion alongside a full AI development stack for embodied robotics research.

Full-Field RGB-D Perception

RGB-D cameras at the head, waist, and wrist positions provide comprehensive spatial coverage across all three configurations. Multi-point depth sensing enables accurate perception during both manipulation tasks and terrain navigation.

Native VLA Development Platform

The integrated platform covers the complete research workflow from data collection and annotation to model training and inference in a single interface. Over 10,000 open-sourced real-world datasets and preloaded ACT and Pi 0.5 classic models are available from day one.

VR Teleoperation with Active Safety

Dual-arm teleoperation via Oculus Quest 3 delivers intuitive remote operation across the full arm workspace with low latency. Active safety boundary protection for head, body, stand, and desktop environments prevents unintended contact during teleoperated sessions.

Open SDK and Simulation Support

Full Python and C++ SDK access exposes both high-level and low-level control interfaces with ROS1 and ROS2 compatibility. The platform is validated with NVIDIA Isaac Sim, MuJoCo, and Gazebo and receives ongoing updates via GitHub.

Use Cases & Application Scenarios

From algorithm training to industrial deployment, the 3-in-1 platform adapts to research, manipulation, and mobility missions across a wide range of real-world environments.

Algorithm Training & Data Collection

Research teams use the 3-in-1 configuration to collect data across manipulation and locomotion modalities simultaneously in a single session. The native VLA platform automates dataset annotation and management, reducing the preparation time needed before training can begin.

Dexterous Industrial Manipulation

In Dual Arm mode, the robot executes complex object handling and assembly tasks with repeatable precision in structured industrial environments. Safety boundary protection and dual redundant power design ensure reliable operation during continuous production-adjacent workflows.

All-Terrain Mobile Operation

Wheeled Legs configuration enables high-speed traversal across flat, uneven, and inclined surfaces with a high ground payload capacity. The platform can be rapidly switched to Sole bipedal mode for stair climbing and step navigation without any additional tooling.

Embodied AI Research & Development

University labs and AI research institutions use the platform as a unified testbed for whole-body control, VLA model development, and human-robot interaction studies. Open-source datasets, pre-trained models, and active GitHub updates accelerate the path from simulation to real-world deployment.