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pro vyhledávání: '"Qualmann, Alexander"'
Autor:
Liu, Yushi, Qualmann, Alexander, Yu, Zehao, Gabriel, Miroslav, Schillinger, Philipp, Spies, Markus, Vien, Ngo Anh, Geiger, Andreas
Bin picking is an important building block for many robotic systems, in logistics, production or in household use-cases. In recent years, machine learning methods for the prediction of 6-DoF grasps on diverse and unknown objects have shown promising
Externí odkaz:
http://arxiv.org/abs/2405.06336
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, variatio
Externí odkaz:
http://arxiv.org/abs/2403.02495
Autor:
Shi, Yitian, Schillinger, Philipp, Gabriel, Miroslav, Qualmann, Alexander, Feldman, Zohar, Ziesche, Hanna, Vien, Ngo Anh
Existing grasp prediction approaches are mostly based on offline learning, while, ignoring the exploratory grasp learning during online adaptation to new picking scenarios, i.e., objects that are unseen or out-of-domain (OOD), camera and bin settings
Externí odkaz:
http://arxiv.org/abs/2309.12038