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Updated: Jan 16, 2026

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通过Lie组进行简单的物理嵌入式学习,用于串行操纵器动态预测的哈密尔顿公式

Fei Wang1, Liping Chen2, Jianwan Ding1

  • 1School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.

Scientific reports
|September 26, 2025
PubMed
概括

本研究引入了Symplectic Physics-Embedded Learning (SPEL) 方法用于机器人动态建模,显著减少参数并提高效率. 通过将物理原理集成到神经网络中,SPEL提高了准确性和可解释性.

关键词:
动力学 预测 预测哈密尔顿动力学的动力学谎言组 谎言组是一个谎言组.嵌入式物理嵌入式物理连续操纵器是一个连续操纵器.

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