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Updated: Jan 28, 2026

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LSWM:通过强化学习进行双脚运动的长短历史世界模型

Jie Xue1,2,3, Zhiyuan Liang1,2,3, Haiming Mou3

  • 1School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Biomimetics (Basel, Switzerland)
|January 27, 2026
PubMed
概括

这项研究引入了长短世界模型 (LSWM),以改善双脚机器人在具有挑战性的地形上运动. LSWM增强了状态重建和未来预测,显著提高了机器人的性能和适应性.

关键词:
长短 世界模型这是一个双脚机器人.国家预测模块的状态预测模块.国家重建模块.

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