Tactile sensor pad: shape recognition

D. Famularo, P. Muraca
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Abstract

Most robot tactile sensing research has focused on object shape recognition with tactile sensors. In this paper we examine the model of a tactile pad sensor, assumed to be a finite dimension medium. The model of the tactile pad sensor is obtained using an integral relation between the boundary conditions and the stress tensor. A set of stress sensors is allocated in the tactile pad, the model is discretized and a direct relation between the parameters of the shape to be recognized and the measured stress is obtained. Due to the ill-posedness of the problem, classical least squares estimation and regularized estimation are examined. Numerical simulations in order to evaluate the inversion technique with different shapes of the object, are presented.
触觉感应垫:形状识别
大多数机器人触觉传感研究都集中在用触觉传感器识别物体形状上。在本文中,我们研究了一个触觉垫传感器的模型,假设是一个有限维介质。利用边界条件与应力张量之间的积分关系,得到触觉垫传感器的模型。在触觉垫中配置一组应力传感器,对模型进行离散化处理,得到待识别形状参数与实测应力之间的直接关系。由于问题的病态性,本文研究了经典最小二乘估计和正则化估计。为了评估不同物体形状下的反演技术,给出了数值模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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