人在循环建模和双边技能转移控制软外骨架的控制
Jiajun Xu1, Kaizhen Huang1, Mengcheng Zhao1
1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Sensors (Basel, Switzerland)
|December 17, 2024
概括
这项研究为半患者引入了一种使用扭弦执行器的软外衣. 适应式控制器和强化学习优化了辅助,使镜像训练能够改善四肢功能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物医学工程 生物医学工程
- 康复技术 康复技术 康复技术
背景情况:
- 与刚性机器人相比,软的外骨架提供了符合规则的协助.
- 半截肢患者需要有效的康复策略来恢复四肢.
- 现有的解决方案可能缺乏高强度,可变刚度的驱动.
研究的目的:
- 为半患者开发一种带有扭弦执行器 (TSA) 的软外衣.
- 创建一个适应性阻抗控制器,用于健康和受损四肢之间的镜像训练.
- 通过强化学习 (RL) 优化机器人协助.
主要方法:
- 制定了TSA的分析模型.
- 开发了一个人体外衣配合的动态模型.
- 设计了一种适应性阻抗控制器,用于技能转移 (运动轨迹和刚度).
- 实现了一个强化学习算法来优化阻抗参数.
主要成果:
- 证明了开发的外衣和控制策略的有效性.
- 在实验试验中展示了拟议方法的优越性.
- 验证了自适应阻抗控制器促进镜像训练的能力.
结论:
- 带有TSA的软外套提供了高强度,可变刚度的启动.
- 适应性阻抗控制器和基于RL的优化增强了半患者的康复.
- 这种方法为辅助和康复机器人提供了一个有前途的解决方案.
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