使用减少顺序导电模型对机器人扭曲任务进行软切割传感
Dhruv Trehan1, David Hardman1, Fumiya Iida1
1Bio-Inspired Robotics Laboratory, University of Cambridge, Cambridge CB2 1PZ, UK.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
研究人员开发了软机器人指尖的新模型,使用电阻断断层扫描 (EIT) 来预测螺丝刀扭转等任务中的剪切力. 通过更快,更准确的触觉,
科学领域:
- 机器人技术
- 传感器技术
- 材料科学
背景情况:
- 机器人的灵巧操作依赖于人工指尖的丰富触觉反.
- 剪切传感对于扭转和拖动等任务至关重要,但使用电阻断层扫描 (EIT) 的软传感器研究有限.
- 对于开发先进的触觉传感器来说,EIT技术是一个有前途的途径.
研究的目的:
- 通过使用EIT进行机器人操纵来调查软切割预测.
- 开发和分析用于将螺丝刀扭转任务与EIT传感器中的导电图的缩小序列模型.
- 通过改进的触觉来实现高速的闭环机器人控制.
主要方法:
- 提出并研究了基于EIT的剪切传感的五种减少顺序模型.
- 分析了螺丝刀扭转过程中产生的EIT信号.
- 与扭矩和直径等物理测量相关的缩小序列模型参数.
主要成果:
- 在降低级参数和物理测量之间实现了高相关性 (扭矩为0.96,直径为0.97).
- 通过使用拟议的模型,可以从噪音信号中推断出洞察力.
- 展示了与传统方法不同地预计算有限元法 (FEM) 模型信号的潜力.
结论:
- 开发的减少顺序模型有效地预测了使用EIT的机器人指尖的基于剪切的扭转.
- 这种方法为实现实时,高速闭环机器人操纵系统提供了途径.
- 这些发现推动了软机器人和触摸感应领域的复杂操作任务.
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