动态稳定性和机械阻抗在操纵不确定的动态复杂物体时得到优化
Rakshith Lokesh1,2, Dagmar Sternad1,2,3,4
1Department of Biology, Northeastern University, Boston, Massachusetts, United States of America.
PLoS computational biology
|December 9, 2025
概括
人类使用对象准备和节奏运动来稳定不稳定的物体,如咖啡杯,即使具有未知的特性. 这种运动控制策略优化了稳定性,并最大限度地减少了手臂的劳动力.
科学领域:
- 人类运动控制器
- 机器人技术 机器人技术 机器人技术
- 生物力学 生物力学
背景情况:
- 操纵非刚性物体是常见的,但由于不稳定性而具有挑战性.
- 了解用于稳定对象操纵的运动控制策略,特别是具有未知的属性,至关重要.
研究的目的:
- 研究人类如何在操纵具有不确定的物理性质的物体时确保稳定性.
- 识别在对象准备和节奏运动期间使用的运动控制策略.
主要方法:
- 使用了一个虚拟的"杯咖啡"任务,模拟为一个车式系统.
- 摆形长度随机变化或保持不变,引入动态不确定性.
- 测量包括球的角度,杯子振荡频率和握力 (作为机械阻抗代理).
主要成果:
- 对象的准备增强了稳定性,特别是在高动态不确定性下.
- 人类调整了系统初始化和杯频率,以最大限度地提高动态稳定性.
- 臂阻抗增加以适应不确定的动态,而净力保持不变.
结论:
- 人类使用准备和交互策略来优化手对象交互期间的机械阻抗和动态稳定性.
- 这些发现可以为机器人控制和康复策略提供信息.
- 电机控制通过调整阻抗和运动模式来适应不确定性.
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