以皮肤为灵感的复合触觉传感器,具有相当的梯度模块,用于抓地监控
Xingyu Ma1, Shengmei Liao1, Da Chen1
1College of Electronic and Information Engineering, Shandong University of Science and Technology, 266590 Qingdao, China.
ACS applied materials & interfaces
|August 19, 2025
概括
一个新的灵活触觉传感器准确量化静态压力和动态滑动,增强机器人抓地稳定性. 这种触觉感应的进步对于智能制造应用至关重要.
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:
- 工业机器人需要先进的触觉传感器来进行智能制造.
- 现有的触觉传感器很难准确地测量静态压力和动态滑动,限制机器人手臂的稳定性.
- 为了解决这些局限性,提出了一种具有相当梯度模量 (EGM) 的灵活复合触觉传感器.
研究的目的:
- 开发一种灵活的复合触觉传感器,能够同时高精度量化静态压力和动态滑动刺激.
- 提高工业自动化中的机器人抓取操作的稳定性和性能.
- 提高触觉传感器的灵敏度,检测范围和响应时间.
主要方法:
- 制造一台灵活的复合触摸传感器,采用高模块金字塔结构,以有效地传递应力,以及低模块孔阵列,用于敏感层变形.
- 整合一个阻断裂纹的传感平面,以提高对微刺激的敏感性.
- 传感器性能的表征,包括灵敏度,检测范围和响应时间.
- 评估传感器区分压力,面积和滑动纹理的能力.
- 应用深度可分离的卷积网络与道注意力机制来分类抓取状态.
主要成果:
- 优化的EGM触摸传感器表现出高灵敏度和广泛的检测范围 (0.085kPa-1在0-160kPa;0.368kPa-1在160-300kPa).
- 传感器表现出快速响应时间 (80毫秒响应,96毫秒恢复).
- 它准确地区分了接触点的压力和面积 (98.6%),并确定了滑动纹理/接触面积 (86.4%).
- 一个深度可分离的卷积网络在分类12个抓取状态时实现了95.70%的准确性,平衡识别和参数优化.
结论:
- 拟议的EGM触觉传感器有效地解决了当前传感器在量化联合静态和动态触觉刺激方面的局限性.
- 传感器在灵敏度,范围,响应和识别能力方面的高性能为工业自动化中的稳定抓地提供了有前途的解决方案.
- 这项技术推动了工业机器人的皮肤感知发展,为更复杂的智能制造铺平了道路.
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