相关实验视频

,

Zhijun Zhang1,2,3,4,5,6,7,8,9,10, Xiangliang Sun11, Yiqi Liu12

  • 1School of Automation Science and Engineering, South China University of Technology, Guangzhou, Guangdong, China. auzjzhang@scut.edu.cn.

Nature communications
|November 21, 2025
PubMed
概括

一个新的元交互神经网络 (MINN) 加快了时间变化的二次编程 (TVQP) 问题的解决方案. 与现有方法相比,MINN表现出优越的速度和稳定性,提高了机器人控制的准确性.

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