Pseudo Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking
Huy Le,Philipp Schillinger,Miroslav Gabriel,Alexander Qualmann,Ngo Anh Vien,Huy Le,Philipp Schillinger,Miroslav Gabriel,Alexander Qualmann,Ngo Anh Vien
The prevailing grasp prediction methods predominantly rely on offline learning, overlooking the dynamic grasp learning that occurs during real-time adaptation to novel picking scenarios. These scenarios may involve previously unseen objects, variations in camera perspectives, and bin configurations, among other factors. In this paper, we introduce a novel approach, SSL-ConvSAC, that combines semi-...
