Recognizing object surface properties using impedance perception

Ryo Kikuuwe, T. Yoshikawa
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引用次数: 5

Abstract

Using the impedance perception algorithm, which we previously proposed, the stiffness matrix that constrains the motion-force relation of the robot's end-effector is obtained on-line. This paper describes two methods of extracting information on local properties of object surfaces from the stiffness matrix when the end-effector is slid on the surfaces. At the present time, the scope is limited to two classes of surfaces; flat and convex cylindrical surfaces. Since the proposed perception technique is designed separately from control strategies, and they can be used for both autonomous and remote controlled robots. Results of preliminary experiments are presented.
利用阻抗感知识别物体表面特性
利用之前提出的阻抗感知算法,在线获得约束机器人末端执行器运动-力关系的刚度矩阵。本文描述了当末端执行器在物体表面滑动时,从刚度矩阵中提取物体表面局部属性信息的两种方法。目前,范围仅限于两类表面;平面和凸圆柱形表面。由于所提出的感知技术与控制策略是分开设计的,因此它们既可以用于自主机器人,也可以用于遥控机器人。给出了初步实验结果。
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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