VLA

📖 This is the concise version (~3 min). For the full engineering details (design decisions, algorithm / reward, diagnostics, reproduce commands), read the deep-dive → From “can record” to “can train & eval” The intro post wired SO-101, MuJoCo, and LeRobot on AMD ROCm so you can teleoperate in sim and collect expert trajectories. v0.1.3 (release-v0.1.3) closes the next loop — Lab 01 pick-and-place: sim demos → ACT / SmolVLA training → MuJoCo closed-loop eval, plus downloadable Hub reference assets. ...

📖 This is the concise version (~3 min). For the full engineering details (design decisions, algorithm / reward, diagnostics, reproduce commands), read the deep-dive → Overview VLA (Vision-Language-Action) models are data-hungry, and real-robot collection is slow and expensive. So we flip it: on an AMD Instinct MI300X + ROCm box, we turn OpenArm’s pick-and-place into an in-sim expert trajectory data engine with openarm_mp_labs — given an object and a grasp pose, auto-solve a smooth, physically feasible, sub-mm-accurate demonstration trajectory that’s reproducible at scale. ...