arXiv Robotics — research abstracts· Yushen Liang, Yue Peng, Baosheng Jin, Tianluo Zhang, Xinyu Zhang, Shuyi Zhou, Zhuoran Chen, Xinqi Liu, Shenji Wan·· 12 hours agoEditorial score65
Physical Time as a Missing Dimension of Robot Policy Memory Dynamics
Physical Time as a Missing Dimension of Robot Policy Memory Dynamics
Summary
This research introduces Temporal Flow Policy (TFP), which models robot policy memory by incorporating physical time as a critical dimension. TFP learns memory dynamics to retain past events and evolve memory states over measured time intervals. The approach outperforms existing methods in tasks requiring timing and memory, demonstrating the importance of temporal awareness in embodied AI.
Source: arXiv Robotics — research abstracts · Read original article ↗
Loading article text…
Source：arXiv Robotics — research abstracts · arxiv.org