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通过嵌入6D应变传感器来推进软机器人自身感知
Daniel Feliu-Talegon1, Yusuf Abdullahi Adamu1, Anup Teejo Mathew1,2
1Department of Mechanical and Nuclear Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
Soft robotics
|January 21, 2025
概括
研究人员使用应变传感和几何变量-应变 (GVS) 模型为软机器人开发了一种新型的自身感知系统. 该系统准确地测量机器人的形状和配置,使人机交互和探索的先进控制成为可能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物启发系统 生物启发系统
- 传感器技术 传感器技术
背景情况:
- 软机器人需要先进的传感器来进行导航和交互.
- 软机器人传感存在挑战,原因是无限度的自由和计算需求.
研究的目的:
- 为精细软机器人展示基于模型的自身感知系统.
- 为应对软机器人传感和形状重建方面的挑战.
主要方法:
- 开发了一种灵活的2板6D应变传感器 (Flex-2P6D),用于测量6D应变.
- 使用了几何变量菌株 (GVS) 建模方法.
- 嵌入式传感器用于水下和物理交互能力.
主要成果:
- 在应变测量中达到高于95%的准确性.
- 直接测量了配置变量,并准确地重建了复杂的机器人形状.
- 证明了成功的实验验证,包括水下运行.
结论:
- 拟议的应变传感和GVS方法为软机器人自身感知提供了强大的解决方案.
- 这项技术在观测,探索和人机交互方面具有潜在的应用.
- 为软机器人系统提供精确的闭环控制和估计方法.
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