arXiv Robotics — research abstracts· Cui Miao, Junhao Yu, Ping Liu, Ning Yang, Xuhua Chen, He Zheng, Xiaodong Wang, Tao Zhang·· 5 days agoEditorial score42
RM-WAM: Reliable Memory-Augmented World Action Models for Long-Horizon Robot Manipulation
RM-WAM: Reliable Memory-Augmented World Action Models for Long-Horizon Robot Manipulation
Summary
RM-WAM improves robot manipulation by using memory to predict actions and states. It addresses reliability issues in long tasks by selectively using historical data. Experiments show its effectiveness in complex scenarios.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Source：arXiv Robotics — research abstracts · arxiv.org