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Vision/Force Control in Task-Oriented Grasping and Manipulation

机译:任务导向抓握和操作中的视觉/力量控制

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In this paper, we present a novel approach for sensor-guided robotic execution of everyday tasks, which is amenable to be integrated in current mobile manipulators and humanoid robots. We consider a robot which is observing simultaneously his hand and the object to manipulate, by using an external camera (i.e. robot head). Task-oriented grasping algorithms are used in order to plan a suitable grasp on the object according to the task to perform. A new vision/force coupling approach [1] is used in order to, first, guide the robot hand towards the grasp position and, second, perform the task taking into account external forces. Experimental results on a real robot are presented which validate our approach.
机译:在本文中,我们提出了一种新颖的用于日常任务的传感器引导机器人执行方法,这是可集成在当前的移动机械手和人形机器人中。我们考虑通过使用外部相机(即机器人头)同时观察他的手和对象来操纵的机器人。面向主的掌握算法用于根据要执行的任务规划合适的掌握对象。使用新的视觉/力耦合方法[1]以首先引导机器人朝向掌握位置,而是考虑到外力的任务。介绍了真正机器人的实验结果,验证了我们的方法。

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