重新优化单关节电机模式以适应由机器人外骨诱导的非地球重力扭矩
Dorian Verdel1,2, Simon Bastide1,2, Franck Geffard3
1Université Paris-Saclay, CIAMS, 91405 Orsay, France.
iScience
|November 29, 2023
概括
人类可以将自己的运动适应不同的重力水平,包括在月球和火星上发现的重力水平. 这项研究表明,在变化的重力下,最佳的运动模式重新优化,有助于康复和太空探索培训.
科学领域:
- 神经科学是一个神经科学.
- 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:
- 引力是人类运动控制的基础.
- 改变的重力环境 (太空探索,康复) 挑战了感官运动适应.
- 了解运动模式再优化对于这些应用来说至关重要.
研究的目的:
- 为了研究人类的运动适应模拟的重力场.
- 为了确定传感运动系统是否可以在变化的重力下重新优化运动模式.
- 评估人类适应各种类似重力的扭矩的效率.
主要方法:
- 使用机器人外骨架模拟重力场从-1g到1g (包括火星和月球的重力).
- 记录和分析了手臂运动的运动模式.
- 将实际的电机模式与来自最佳控制模型的预测进行比较.
主要成果:
- 参与者表现出最佳适应每个模拟的类似重力的扭矩.
- 人类运动模式在各种改变的重力条件下成功地重新优化.
- 传感运动系统有效地捕捉到不同重力的关节水平影响.
结论:
- 人类可以有效地适应他们的运动控制,以显著的重力变化.
- 这些发现支持在康复和宇航员中使用手臂重量支训练.
- 在变化的重力条件下,最佳的运动再优化为训练和治疗开辟了新的可能性.
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