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A sensor classification strategy for robotic manipulators using multidimensional scaling technique

机译:使用多维缩放技术的机器人机械手传感器分类策略

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摘要

This paper analyzes the signals captured during impacts and vibrations of a mechanical manipulator. To test the impacts, a flexible beam is clamped to the end-effector of a manipulator that is programmed in a way such that the rod moves against a rigid surface. Eighteen signals are captured and theirs correlation are calculated. A sensor classification scheme based on the multidimensional scaling technique is presented.
机译:本文分析了机械手撞击和振动期间捕获的信号。为了测试冲击力,将柔性梁夹在操纵器的末端执行器上,该操纵器的编程方式为使杆抵靠刚性表面运动。捕获18个信号,并计算它们的相关性。提出了一种基于多维缩放技术的传感器分类方案。

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