نسخة أولية وصول مفتوح
Towards Accurate End-Effector Localization for UMI-Style Robotic Manipulation Teaching
Robot demonstration learning requires accurate and temporally complete end-effector localization during close-range manipulation and camera occlusion. Existing SLAM benchmarks emphasize navigation motions, whereas manipulation datasets prioritize policy learning over localization evaluation. We introduce MILD, a Manipu …