探索触觉表面传感器作为直观机器人编程的手势输入设备

Arne Muxfeldt, Jan Niklas Haus, Jingyuan Cheng, Daniel Kubus
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引用次数: 13

摘要

工业机械臂缺乏高效、直观的编程范式,阻碍了各种工业制造环境中自动化程度的提高。我们通过探索触觉表面传感器(TSS)来解决这一不足,该传感器将机械手的链接封装为直观机器人编程的手势输入设备。首先,简要介绍了我们的低成本触觉表面传感器。随后,介绍了一个初步的手势集,并讨论了基于特征的手势识别方法。此外,概述了从手势中提取相关参数以及将手势输入集成到基于技能的机器人控制体系结构中的方法。基于12名受试者和7种手势的用户研究的定量性能结果表明,即使传感器的空间分辨率较低(20mm),平均精度也可以达到90%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring tactile surface sensors as a gesture input device for intuitive robot programming
The lack of efficient and intuitive programming paradigms for industrial manipulators stands in the way of increasing the degree of automation in various industrial manufacturing environments. We approach this lack by exploring tactile surface sensors (TSS) enclosing the links of a manipulator as a gesture input device for intuitive robot programming. First, our low-cost tactile surface sensor is briefly presented. Subsequently, a preliminary gesture set is introduced and feature-based approaches for gesture recognition are addressed. Furthermore, the extraction of relevant parameters from the gestures as well as the integration of gesture input into our skill-based robot control architecture are outlined. Quantitative performance results based on a user study with 12 subjects and a set of 7 gestures show that even with a comparatively low spatial resolution of the sensor (20mm) average accuracies of over 90% can be obtained.
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