Markov techniques for object localization with force-controlled robots
Markov techniques for object localization with force-controlled robots
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发表时间：
2001
影响因子：
2
通讯作者：
K. Gadeyne;H. Bruyninckx
中科院分区：
文献类型：
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作者：
K. Gadeyne;H. Bruyninckx
本文在贝叶斯框架下研究力控机器人的目标定位问题[1]。描述了一种基于马尔可夫定位技术和蒙特卡罗实现的方法，用于解决力控机器人的3D(6自由度)全局定位问题。该方法被成功地应用于机器人操作手递归定位盒子等问题。
This paper deals with object localization with force-controlled robots in the Bayesian framework [1]. It describes a method based on Markov Localization techniques with a Monte Carlo implementation applied for solving 3D ( 6 degrees of freedom) global localization problems with force-controlled robots. The approach was successfully applied to problems such as the recursive localization of a box by a robot manipulator.