人工智能驱动的下肢外骨系统,用于社区行走
Dawit Lee1,2, Sanghyub Lee1,3, Aaron J Young1,4
1School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Science advances
|December 18, 2024
概括
这项研究介绍了一种由人工智能 (AI) 驱动的外骨架,可以适应各种走路条件. 人工智能系统通过降低代谢成本和改善用户在现实世界中行走的偏好来增强移动性.
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
- 人工智能的人工智能
背景情况:
- 外骨架可以改善人类的移动性,但很难适应各种走路条件.
- 适应性控制对于在现实场景中有效的外辅助至关重要.
研究的目的:
- 开发和验证人工智能 (AI) 驱动的通用外骨系统.
- 为了能够根据行走模式,地面坡度和步行阶段来动态地调整辅助.
主要方法:
- 使用人工智能控制器实时调制协助级别和类型.
- 跑步机验证将基于AI的辅助与传统方法进行比较.
- 在现实世界中进行测试,以评估控制器性能和用户偏好.
主要成果:
- 基于人工智能的辅助在跑步机上降低了6.5%的代谢成本,超过了传统辅助 (3.5%).
- 现实世界的测试证明了基于AI的有效辅助调制和更高的用户偏好.
- 人工智能方法在没有单独的模式分类器的情况下实现了优越的环境和用户状态估计.
结论:
- 人工智能驱动的外骨架为增强人类运动提供了适应性和个性化的帮助.
- 通用系统的用户独立操作允许在各种现实世界条件下立即部署.
- 这项技术显示了促进人类行走的巨大潜力.
相关概念视频
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