文章基本信息

标题：Context-Based Adaptation of In-Hand Slip Detection for Service Robots
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作者：Jose Sanchez ; Sven Schneider ; Nico Hochgeschwender 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：15
页码：266-271
DOI：10.1016/j.ifacol.2016.07.765
语种：English
出版社：Elsevier
摘要：AbstractMobile manipulators are intended to be deployed in domestic and industrial environments where they will carry out tasks that require physical interaction with the surrounding world, for example, picking or handing over fragile objects. In-hand slippage, i.e. a grasped object moving within the robot’s grasp, is inherent to many of these tasks and thus, a robot’s ability to detect a slippage is vital for executing a manipulation task successfully. In this paper, we develop a slip detection approach which is based on the robot’s tactile sensors, a force/torque sensor and a combination thereof. The evaluation of our approach, carried out on the Care-O-bot 3 platform, highly suggests that the actions and motions performed by the robot during grasping should be taken into account during slip detection for improved performance. Based on this insight, we propose an in-hand slip detection architecture that is able to adapt to the current robot’s actions at run time.
关键词：KeywordsManipulation tasksslip detectionsensor fusiontactile sensingforce sensingrun-time adaptation