相关实验视频
Updated: Feb 24, 2026

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Experimental Methods to Study Human Postural Control
Published on: September 11, 2019
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联合扭矩控制的质量中心反:可穿戴机器人平衡增强的通用方法
Research square
|February 23, 2026
概括
这项研究开发了一种新的可穿戴机器人控制器,它使用质量中心 (CoM) 偏差来预测平衡校正扭矩. 该控制器显示,它有望提高可穿戴机器人设备的稳定性,从而潜在地降低掉落风险.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物力学 生物力学
- 控制系统 控制系统
背景情况:
- 外骨架可以改善平衡并降低跌倒风险.
- 目前的控制器仅限于单个运动平面和特定任务 (站立或行走).
- 需要在不同的扰动和运动中制定一个通用的控制方案.
研究的目的:
- 为可穿戴机器人提出和评估一种新的扭矩控制框架.
- 为了评估延迟质量中心 (CoM) 反控制器的概括性.
- 预测多关节扭矩对不同大小,方向和运动背景的扰动的反应.
主要方法:
- 开发了一个延迟的CoM反控制器,灵感来自人类平衡策略.
- 在九名健康成年人身上测试了控制器,使用斜坡和支和侧面支表面扰动.
- 评估了控制器从站立状态到循环运动的概括能力.
主要成果:
- 控制器很好地概括了各种悬架和保持扰动 (R2 > 0.84).
- 从站立到循环运动的泛化仅限于部和膝盖的曲 (R2 > 0.70).
- 在循环运动期间,脚和部 adduction 的性能不那么强大.
结论:
- 一个灵感来自生理学的CoM反控制器可以有效地预测部/膝关节外骨架在站立和运动期间的平衡扭矩.
- 在站立时,控制器对脚外骨架有效.
- 这种方法需要的培训数据比ML算法少,使得实施速度更快,从而降低掉落风险.
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