Review
Oct 2026
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...
Jun-Jie Zhang, De-Teng Zhang, Zhi-Song Xu et al.
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