A Learning Approach for Robotic Grasp Selection in Open-Ended Domains


Enabling a robot to grasp unknown objects is still an ongoing challenge in robotics. The main problem is to find an appropriate grasp configuration including the position and orientation of the arm relative to the object and fingers configuration. One approach is to recognize an appropriate grasp pose for an object based on one or more grasp demonstrations… (More)
DOI: 10.1109/ICARSC.2016.17


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