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Experimental study of two robot arms manipulating large objects

机译:两条机械臂操纵大型物体的实验研究

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摘要

In this paper, we present the architecture of an experimental real-time control system called TRACS (two robotic arm coordination system) and experimental results using two PUMA 250 robot arms that perform tasks of manipulating large objects. The system uses an IBM PC-AT as the host computer which is equipped with an AMD29000 high speed floating point coprocessor. It is configured in such a way that the Intel 80286 processor performs all the input-output interface operations (interface to the sensors, arms, and user) while the AMD29000 carries out the real-time computations of feedback control algorithms. Using the system, we have successfully implemented the dynamic control algorithm developed for coordinating two robotic arms. The two arms perform the task of manipulating a large object by means of enveloping grasp. The coordinated control algorithm utilizes the full dynamics of the two arms. The results from two experimental tasks are described in detail, in which the two arms move an object while adapting the grasp configuration to the motion trajectory and to the external disturbance force.
机译:在本文中,我们介绍了称为TRACS(两个机械臂协调系统)的实验实时控制系统的体系结构,以及使用两个执行大型物体任务的PUMA 250机器人臂的实验结果。该系统使用IBM PC-AT作为主机,并装有AMD29000高速浮点协处理器。它的配置方式使Intel 80286处理器执行所有输入输出接口操作(与传感器,手臂和用户的接口),而AMD29000则执行反馈控制算法的实时计算。使用该系统,我们已成功实现了为协调两个机械臂而开发的动态控制算法。两只手臂通过包围抓握来执行操纵大型物体的任务。协调控制算法利用了两个臂的全部动态特性。详细描述了两个实验任务的结果,其中两个臂在使抓取配置适应运动轨迹和外部干扰力的同时移动对象。

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