基于交互的快速启发式优化,在行走过程中对外骨架的辅助
Jianyu Chen1,2,3, Weihao Yin1,2,4, Jianquan Ding1,2,4
1College of Artificial Intelligence, Nankai University, Tianjin, PR China.
Communications engineering
|December 30, 2025
概括
这项研究介绍了一种快速的2分钟方法,通过模仿人类关节时刻来个性化外骨辅助. 这种方法提高了外骨的性能,减少了用户的努力,并增加了日常使用的可访问性.
科学领域:
- 生物力学 生物力学
- 机器人技术 机器人技术 机器人技术
- 人与计算机的交互
背景情况:
- 个性化辅助可以提高外骨在移动过程中的性能.
- 目前的优化方法是低效的,不舒服的和复杂的.
研究的目的:
- 开发一种快速,高效和易于使用的方法来个性化外骨辅助.
- 为了提高外骨的舒适性,可部署性,并减少计算复杂性.
主要方法:
- 开发了一种新的方法,通过在2分钟内模仿人类关节时刻来优化外骨辅助.
- 这种方法确保稳定性,同时提供温和,个性化的扭矩.
- 在单侧脚外骨架上进行测试,具有机外驱动.
主要成果:
- 协助优化速度是最先进的方法的16倍.
- 肌肉活动减少了36.8%,代谢成本减少了20.4%.
- 在各种条件,设备和环境中展示了有效的部署.
结论:
- 该方法显著降低了与外骨研究和操作相关的成本.
- 它提高了对日常场景的有效,个性化和持续调节的外骨架的可访问性.
- 该方法克服了现有方法在反,调和辅助制定方面的局限性.
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