,

Enming Shi1,2,3, Xu Zhong4, Tian Wang5

  • 1State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, China.

Frontiers in neuroscience
|February 15, 2024
PubMed
概括

本研究介绍了形状记忆合金 (SMA) 执行器的自适应PI控制策略,提高了人机交互的精度. 新的灰盒模型和控制方法提高了机器人系统的稳定性和性能,特别是在康复应用中.