MG Super Labs
LimX Dynamics TRON 2 EDU 3-in-1 Embodied Robot
Description
The LimX Dynamics TRON 2 EDU is a modular, shape-shifting embodied AI platform engineered for robotics research, industrial application development, and multi-terrain navigation. Its modular hardware architecture provides a complete, unified platform supporting three distinct configurations: a stationary dual-arm setup, wheeled-leg mobility, and bipedal (sole feet) locomotion.
The 3-in-1 Architecture
TRON 2 can easily adapt to your research or deployment needs through its modular design, effectively offering three robots in one system.
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Dual-Arm Manipulation: Configured as a stationary humanoid torso, perfect for manipulation tasks, desktop research, and AI training with VR teleoperation.
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Wheeled Legs (All-Terrain Mobility): Combines wheels and legs to allow the robot to roll efficiently on flat surfaces at high speeds (up to 5 m/s) and traverse steep inclines.
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Sole (Bipedal Locomotion): Employs visual-based motion planning to step over obstacles and navigate stairs in multi-level environments.
Technical Specifications
The TRON 2 platform packs serious hardware to handle dynamic locomotion, complex manipulation, and onboard AI processing.
Performance & Compute
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CPU: 11th Gen Intel Core i7-1165G7 @ 2.80 GHz
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Storage: 2 TB
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Battery: 9 Ah Ternary Lithium (Swappable). 80% increase in battery capacity over previous iterations.
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Charging: 54 minutes (20% to 100%). Auto-recharging supported in Wheeled Legs mode.
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Sensors: RGB-D cameras (Head, Waist, Wrist) for full-field perception, and an onboard Inertial Measurement Unit (IMU).
Arm Manipulation (Dual-Arm Mode)
| Feature | Specification |
| Degrees of Freedom (DoF) | 7 per arm (spherical human-like wrist design) |
| Combined Payload | 10 kg (5 kg per arm extended) |
| Arm Reach | 70 cm (27.6 in) |
| Repeatability | ±0.5 mm |
| Teleoperation Latency | 50-100 ms (Optimized for Oculus Quest 3) |
| End-Effectors | Gripper or Dexterous Hand (20 N Gripping Force) |
Locomotion & Mobility
| Feature | Wheeled Legs Mode | Sole (Bipedal) Mode |
| Max Speed | 3 to 5 m/s | 2 to 3 m/s |
| Max Incline | 30° | 15° |
| Max Step Height | 20 cm (7.9 in) | 20 cm (7.9 in) |
| Ground Payload | 30 kg (66.1 lbs) | 20 kg (44.1 lbs) |
| Primary Use-Case | High-speed transit, patrol, inspection | Stair climbing, mixed-terrain |
Software Stack & VLA Development
The TRON 2 is positioned as an integrated Vision-Language-Action (VLA) platform, built to streamline the research pipeline from data collection to inference.
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Integrated Workflow: Native all-in-one platform covering data collection, cleaning, annotation, model training, and inference deployment.
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Pre-Loaded Models: Comes with tutorials for algorithms like ACT and Pi0, backed by over 10,000 open-sourced real-world datasets.
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Sim2Real Support: Includes validated URDF models for smooth transfer from simulation to reality. Fully compatible with NVIDIA Isaac Sim, MuJoCo, and Gazebo.
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Open SDK: Full Python and C++ SDK access with ROS1 and ROS2 compatibility.
Active Safety Features
To manage hardware risks during testing and teleoperation, the TRON 2 includes active safety boundaries (algorithmic constraints to prevent self-collision) and a dual redundant power design. If power is lost, the system automatically folds the arms into a secure position to prevent damage to the robot or the environment.