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pro vyhledávání: '"Gruner, Theo"'
Robotic insertion tasks remain challenging due to uncertainties in perception and the need for precise control, particularly in unstructured environments. While humans seamlessly combine vision and touch for such tasks, effectively integrating these
Externí odkaz:
http://arxiv.org/abs/2410.23860
Autor:
Watson, Joe, Song, Chen, Weeger, Oliver, Gruner, Theo, Le, An T., Hansel, Kay, Hendawy, Ahmed, Arenz, Oleg, Trojak, Will, Cranmer, Miles, D'Eramo, Carlo, Bülow, Fabian, Goyal, Tanmay, Peters, Jan, Hoffman, Martin W.
This survey examines the broad suite of methods and models for combining machine learning with physics knowledge for prediction and forecast, with a focus on partial differential equations. These methods have attracted significant interest due to the
Externí odkaz:
http://arxiv.org/abs/2408.09840
Autor:
Palenicek, Daniel, Gruner, Theo, Schneider, Tim, Böhm, Alina, Lenz, Janis, Pfenning, Inga, Krämer, Eric, Peters, Jan
Humans have exceptional tactile sensing capabilities, which they can leverage to solve challenging, partially observable tasks that cannot be solved from visual observation alone. Research in tactile sensing attempts to unlock this new input modality
Externí odkaz:
http://arxiv.org/abs/2405.00383