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This paper proposes a 3D vision based object grasping posture learning system. In this system, the robot recognizes the orientation of the object to decide the grasping posture, whereas selects a feasible grasping point by detecting the surrounding. When the planned posture is not good enough, the proposed learning system adjusts the position of the end effector real time. The learning system is inspired...
In this paper, a Q-learning based object grasping strategy and control method is proposed for the home service robot with a rotatable waist. The home service robot May used in this study possesses 6-DOF arms, 2-DOF neck, a rotatable waist, the four-wheel independent steering and four-wheel independent drive mobile platform. In order to increase the coverage of grasping, this paper proposes the Q-learning...
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