相关实验视频
Updated: Jan 11, 2026

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A Tactile Automated Passive-Finger Stimulator TAPS
Published on: June 3, 2009
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人工触觉感知系统用于通过时间频率特征探索物体的内部和外部特征
Yuanzhi Zhou1, Jingqi Zhang1, Linyi Li1
1Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices, Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter, School of Optoelectronic Science and Engineering, South China Normal University, Guangzhou, 510006, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|November 11, 2025
概括
这项研究引入了一种灵活的压电触觉传感器,具有主动感知能力. 这种新型设备增强了机器人的触觉感应,用于对象识别和操纵任务.
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:
- 精确的物体识别和机器人操纵需要对外部和内部特征的感知.
- 当前的人工触觉感知系统在准确性和效率方面面临挑战,因为它们依赖于单一的信号处理范式.
- 活动接触可以调节机械相互作用,使特定物体属性的有针对性的感知.
研究的目的:
- 为了呈现一个灵活的压电触觉传感器,具有主动感知能力.
- 为了证明设备在提取物体识别和操纵的触觉信息方面的有效性.
- 在机器人学中推进触觉交互范式.
主要方法:
- 开发了一种灵活的压电触觉传感器,具有活跃的探测运动 (滑动和振动).
- 设备性能的表征,包括力灵敏度 (<0.02 N),多轴响应,宽频响应 (>2000 Hz) 和高光谱分辨率 (<1 Hz).
- 将设备集成到机器人灵巧的手上进行任务演示.
主要成果:
- 活跃的触觉传感器成功地使用时间域尖峰特征提取边缘特征.
- 通过频域衰变趋势推断物体内部内容.
- 该设备在纹理识别,液体识别方面表现出有效性,并且显示出复杂交互任务的前景.
结论:
- 开发的带有主动感知的压电触觉传感器增强了机器人触觉传感能力.
- 这项技术为以人为中心的环境中更加直观和适应性强的机器人感知提供了基础.
- 这项研究有助于推进机器人学中的触觉交互范式.
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