MoMo: Dial Motion Mode in Robot Manipulation with Spatiotemporal Action Tokenization
Researchers at Apple have introduced MoMo, a method for training robots to adjust their movement patterns based on the specific requirements of different tasks and environments. By using spatiotemporal action tokenization, the system allows robots to learn flexible behaviors that can be applied across various manipulation scenarios. This approach aims to improve how machines adapt their physical execution to better handle diverse objects and interaction settings.
Covered by 2 sources · 9 articles
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