人类双脚的机器人操纵揭示了空间和时间的重叠内部表示
Paul Belzner1, Patrick A Forbes2, Calvin Kuo3
1School of Kinesiology, University of British Columbia, Vancouver, BC, Canada.
Science robotics
|November 26, 2025
概括
有效的双脚平衡控制整合了关于运动动态的过去感官信息. 机器人虚拟化揭示了如何改变身体物理,如惯性和粘度,影响平衡感知和稳定性,特别是与传感运动延迟.
科学领域:
- 神经科学是一个神经科学.
- 生物力学 生物力学
- 机器人技术 机器人技术 机器人技术
背景情况:
- 双脚姿势控制取决于整合过去的感觉数据来预测运动动态.
- 了解平衡的空间和时间属性之间的相互作用对于人类运动科学至关重要.
研究的目的:
- 研究空间 (惯性,粘度) 和时间 (感官运动延迟) 属性如何在人类平衡控制中相互作用.
- 探索潜在的感知和适应改变的身体动态的神经机制.
主要方法:
- 利用机器人虚拟化系统来操纵健康参与者的惯性,粘度和感觉运动延迟.
- 在各种虚拟物理条件下评估姿势稳定性和参与者对感知身体动态的调整.
主要成果:
- 改变惯性和粘度显著影响了姿势振荡和平衡极限,模仿感觉运动延迟.
- 参与者调整了他们的运动控制策略,调整了惯性和粘度的增加,以弥补感知或实际的延迟.
- 用特定的机器人参数来弥补200毫秒的延迟,提高了原始参与者的平衡稳定性.
结论:
- 机器人虚拟化是一种强大的工具,用于剖析双脚平衡中复杂的感觉运动相互作用.
- 神经系统动态调整身体物理的内部模型,以保持稳定,尽管时间干扰.
- 研究结果提供了关于感觉运动缺陷的见解,以及平衡障碍的潜在治疗策略.
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