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Robots are still not able to grasp all unforeseen objects. Finding a proper grasp configuration, i.e. the position and orientation of the arm relative to the object, is still challenging. One approach for grasping unforeseen objects is to recognize an appropriate grasp configuration from previous grasp demonstrations. The underlying assumption in this approach is that new objects that are similar...
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 of the same or other objects. We focus on...
Intelligent service robots should be able to improve their knowledge from accumulated experiences through continuous interaction with the environment, and in particular with humans. A human user may guide the process of experience acquisition, teaching new concepts, or correcting insufficient or erroneous concepts through interaction. This paper reports on work towards interactive learning of objects...
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