arXiv Robotics — research abstracts· Ziyan Liu, Jiting Liu, Weihong Zhong, Wenda Yu, Yeqiu Chen, Jason Li, Xiaojiang Peng, Shuyuan Hu, Kai Wang, Bo Zhao·· 11 hours agoEditorial score65
MorphAct: Robot Policies Morphing with the Worlds They Act In
MorphAct: Robot Policies Morphing with the Worlds They Act In
Summary
This paper presents MorphAct, a contextual parameterization framework for robot policies that dynamically adjusts vision-language and action modules based on interaction contexts. The method improves performance across three VLA backbones on LIBERO and Meta-World, achieving gains of up to 16.30%, and shows real-world improvements of up to 14% over a baseline policy.
Source: arXiv Robotics — research abstracts · Read original article ↗
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Source：arXiv Robotics — research abstracts · arxiv.org