遥控抓取未建模对象

S. Gordon, G. J. Raju
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引用次数: 1

摘要

远程机器人在非结构化环境中对物体进行检索,需要一种能够适应不完整感官信息的操作系统。对于没有先验模型可用的物体,可以使用一种策略来抓取,在这种策略中,操纵臂在触手可及的范围内闭合物体。在抓取过程中,使用各种接近传感器和触觉传感器来监测物体的状态并改变抓取策略。一种接受接近传感器、触觉传感器和关节力矩传感器数据的抓取策略驱动机械手,使机械手与物体接触的连杆数量最大化,并实现对物体的形状闭合。美国宇航局的EVA检索远程机器人的计算机模型已经开发出来,以测试在太空中抓取物体的各种策略。测试表明,一个相对简单的策略就足以成功抓取各种各样的物体。一个计算机控制的抓取系统原型也正在构建中以实现这些策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Telerobotic grasping of unmodeled objects
Telerobotic retrieval of objects in unstructured environments requires a manipulation system which is adaptable in the presence of incomplete sensory information. Objects for which no a priori model is available may be grasped using a strategy in which the manipulator arms being to close around the object when it is within reach. During the grasp, various proximity, and tactile sensors are used to monitor the state of the object and alter the grasping strategy. A grasping strategy which accepts data from proximity, tactile and joint-torque sensors drives the manipulators so that the number of manipulator links in contact with the object is maximized, and form-closure about the object is attained. A computer model of NASA's EVA Retriever telerobot has been developed to test various strategies for grasping objects in space. Tests have shown that a relatively simple strategy is sufficient to successfully grab a large variety of objects. A computer-controlled prototype grasping system is also being constructed to implement the strategies.<>
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