在肩部外骨架中提高人机兼容性: PPRRRP与RRRUP配置的被动关节优化
Qiang Cao1, Wenhao Shan1, Yue Liu1
1The College of Machine, Shanghai DianJi University, Shanghai 201306, China.
Biomimetics (Basel, Switzerland)
|December 24, 2025
概括
这项研究优化了肩膀外骨架的设计,以改善人机兼容性. 带有被动关节的PPRRRP配置减少了相互作用力和扭矩,增强了自然运动协同作用.
科学领域:
- 康复机器人 康复机器人
- 人与机器人的交互
- 动力学就是运动学.
背景情况:
- 人与机器人的兼容性是设计康复外骨的一个关键挑战.
- 传统设计往往优先考虑主动控制,可能限制自然运动.
- 优化被动自由度 (DOF) 提供了一个替代方法.
研究的目的:
- 评估和比较两个肩部康复外骨架配置的运动性能.
- 通过机械透明度和自然运动协同作用来评估人机兼容性.
- 通过理论合成和实证验证,建立一个评估外骨兼容性的框架.
主要方法:
- 开发了一个封闭链运动模型,整合了腺关节动力学.
- 利用亨特的流动性公式和特定任务的雅可比式分析.
- 通过使用力/扭矩测量和ANOVA统计比较来验证模型.
主要成果:
- 在PPRRRP配置中,相互作用力降低了40-60% (F ̄总=2.66 N).
- 观察到接近同位素的操纵能力 (圆轴比<1.5) 和60%降低的操作扭矩 (T ̄总=0.18 N·m).
- 被动DOF优化被证明优于执行器密集系统和传统设计.
结论:
- 被动DOF优化是一种可行的策略,用于增强康复机器人中的人机器人兼容性.
- 通过战略性被动联合分配实现的机械透明度,改善了自然运动协同作用,而不会影响稳定性.
- 未来的工作包括临床翻译,自适应阻抗控制和探索能效相关性.
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