人工示范机器人编程:子任务遵从性控制器识别

N. Delson, H. West
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引用次数: 30

摘要

提出了一种基于人体演示的柔度轨迹回放方法,该方法利用柔度控制来复制装配部件在同一位置时的人体位置轨迹和力轨迹,并能成功地适应零件位置的某些变化。为了确定保证成功组装的适当遵从性,提出了基于多个演示的第二种方法。确定了选择柔度矩阵的准则,使机器人的位置误差和最大接触力小于人类的误差,并且只要工件位置的变化不大于演示期间,机器人就能够达到这一水平的性能。分析仅限于用一致的子任务序列来演示的任务,其中每个子任务由直线平移运动组成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot programming by human demonstration: Subtask compliance controller identification
A programming by human demonstration (PHD) method playback of compliance trajectory is presented which utilizes compliance control to duplicate the human position and force trajectories when the parts being assembled are in the same location as during the demonstration, and will successfully adapt to certain variations in part location. To identify an appropriate compliance that will guarantee successful assembly, a second approach is presented that is based on multiple demonstrations. A criterion for selecting a compliance matrix is identified so that the robot errors in position and the maximum contact force will be less than those of the human, and that the robot will be able to achieve this level of performance as long as variation in workpiece location is not larger than during the demonstrations. The analysis is restricted to tasks which are demonstrated with a consistent sequence of subtasks, where each subtask consists of straight line translational motion.
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