arXiv Robotics — research abstracts· Mohammad Khoshnazar, Mohammad Dehghani Tezerjani, Zhiyuan Gao, Deyuan Qu, Max Gandyra, Yanxiang Zhan, Mehreen Naeem, Andrew Melnik, Jeroen Schafer, Qing Yang, Michael Beetz·· 10 days agoEditorial score63
Reliability-Aware Future Conditioning for Temporally Robust Robot Manipulation
Reliability-Aware Future Conditioning for Temporally Robust Robot Manipulation
Summary
This research introduces RAFC, a method that improves the reliability of future predictions in robot manipulation by treating temporal alignment as a control problem. RAFC outperforms existing approaches under temporal misalignment, achieving higher success rates on both simulated and real-world tasks.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Source：arXiv Robotics — research abstracts · arxiv.org