远场磁探测在软原木执行器上,用于空间多维运动和力感知
Juan Yi1, Jiahao Xu2, Yuxuan Deng2
1Dongguan Key Laboratory of Intelligent Equipment and Smart Industry, School of Advanced Engineering, Great Bay University, Dongguan, China.
Soft robotics
|October 8, 2025
概括
这项研究介绍了软机器人软Farfield磁性原木系统. 它可以精确跟踪运动和力量,增强控制和交互能力.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 材料科学 材料科学 材料科学
- 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,以便在非结构化的环境中适应.
- 磁传感为软机器人应用提供了整合方便和广泛的检测.
- 目前的方法缺乏对软执行器的全面多式联络感知.
研究的目的:
- 为了探索软机器人中的多式感知远场磁感应.
- 开发一个柔软的远场磁性原木设计,用于精确的运动和力检测.
- 为了验证软执行器动力学和力传感的基于模型的方法.
主要方法:
- 将Hall传感器阵列集成到软气动原木执行器中.
- 使用传感器数据来追踪执行器远距离位置并推断多维运动.
- 开发一种基于模型的方法,将执行器位置/压力与传感方式联系起来.
主要成果:
- 精确的空间动力学感知与0.36mm (长度) 和0.02rad (角度) 的平方根平均偏差.
- 检测有0.89N的平方根平均偏差的相互作用力.
- 证明软机器人系统从设计到验证的综合方法.
结论:
- 软法菲尔德磁性原木系统能够为软机器人提供有效的多式联络感知.
- 基于模型的方法促进了准确的位置反控制和交互力调节.
- 这项研究推进了用于多功能软机器人应用的传感能力.
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