通过在线降低几何不确定性来改善柔顺运动的性能

J. Rosell, L. Basañez, R. Suárez
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引用次数: 0

摘要

机器人装配任务的自动规划通常会产生一系列的柔性运动。这些运动使用在线感官信息来执行,以减少建模和感知不确定性对任务的影响。提出了一种估计平面装配任务中某些几何参数的方法,以提高柔性运动的性能。该程序是作者开发的平面上机器人装配任务的两阶段精细运动规划程序的一部分。
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Improving the performance of compliant motions by online geometric uncertainty reduction
The automatic planning of robotic assembly tasks usually gives rise to a sequence of compliant motions. These motions are executed using online sensory information to lessen the effect of modelling and sensing uncertainties affecting the task. The paper presents a procedure to estimate some geometric parameters in a planar assembly task in order to improve the performance of compliant motions. This procedure is part of a two-phase fine-motion planner for robotic assembly tasks in the plane, developed by the authors.
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