具有多个变形属性的对象的可变性自适应感知利用生物模拟机械受体
Waner Lin1, Ziya Wang2,3, Yingtian Xu4
1Key Laboratory for Thin Film and Microfabrication of Ministry of Education, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
Advanced materials (Deerfield Beach, Fla.)
|September 19, 2023
概括
这项研究引入了一种新的触觉传感器,用于机器人更好地感知物体的柔软性和合规性. 这种仿生传感器通过整合动感和皮肤线索来增强机器人操纵,以准确估计变形.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物模拟学是一种生物模拟学.
- 材料科学 材料科学 材料科学
背景情况:
- 准确地感知物体的可变性对于机器人交互至关重要.
- 现有的触觉传感器难以自适应地估计材料软度,特别是在复杂的场景中.
研究的目的:
- 提出一种创新的触觉传感器设计,用于自适应地估计材料软度和合规性.
- 通过融合动感和皮肤线索来增强机器人的触觉表达.
主要方法:
- 在软介质中集成两个缓慢适应的机械受体,用于解的压力和应变传感.
- 利用局部皮肤线索进行材料特性自适应测量.
- 与动感线索的协同组合,用于全面的变形属性传感.
主要成果:
- 拟议的触觉传感器准确地测量材料的软度,适应物体厚度和施加力的变化.
- 在接触接口内证明了对局部压力和应变的自我解感应.
- 通过结合材料柔软性和合规信息来增强触觉表达.
结论:
- 触觉信息的生物模拟融合使我们能够全面了解物体的可变性.
- 开发的传感器促进了改进的机器人决策和在非结构化环境中巧妙的操纵.
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