Deployment-focused fork of OpenPI for LimX TRON2 manipulation — pi0.5 policy serving, task fine-tuning, TRON2 transforms, and real-robot client examples.
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Updated
Aug 17, 2026 - Python
Deployment-focused fork of OpenPI for LimX TRON2 manipulation — pi0.5 policy serving, task fine-tuning, TRON2 transforms, and real-robot client examples.
TronCamp ACT manipulation hackathon kit — LimX Tron2 dual-arm, RoboTwin, single-GPU ACT training, 4-task graded leaderboard (T4 stack_bowls_three).
URDF/xacro, MuJoCo XML, mesh & USD models for LimX TRON2A — 6 variants (dual-arm, bipedal, wheeled-leg), ROS 1/2 & simulation ready.
RL training pipeline for LimX TRON2A humanoid — Isaac Lab + PPO (rsl_rl), Sole-Foot & Wheel-Foot variants.
MuJoCo-based simulator for TRON2A humanoid robots — bridges LimX SDK communication to physics simulation for controller testing and Sim-to-Real verification. Supports SF (biped) and WF (wheel-foot) variants.
Gazebo Classic 11 simulation workspace for TRON2 robots (ROS Noetic) — provides physics simulation with Tron2HWSim plugin bridging to LimX SDK. Supports SF (biped) and WF (wheel-foot) variants.
ROS Noetic RL deployment workspace for TRON2 robots — unified ONNX inference pipeline with Gazebo simulation and real-hardware control. Supports SF (biped) and WF (wheel-foot) variants.
Isaac Lab RL training stack for TRON2A with 6-DoF arm and gripper — PPO-based locomotion policy training supporting SF/WF (foot variants) and SFYG/WFYG (arm+gripper locked variants). Built for the ATEC challenge.
RL deployment/inference for LimX TRON2A humanoid (Sole-Foot & Wheel-Foot) — ONNX Runtime, MuJoCo sim & real hardware.
Gym-style runtime environment for LimX TRON2 manipulation — WebSocket robot transport, motion control & multi-camera observation.
TronCamp locomotion hackathon official site — dual-track leaderboard for TRON2 (arm-leg compound terrain) and Oli humanoid (long-distance traversal) challenges. Built with submit.py CLI for auto-evaluation and leaderboard ranking.
TronCamp manipulation hackathon — official site (GitHub Pages): task specs, rules, leaderboard & contestant docs.
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