Leveraging Publicly Available Textual Object Descriptions for Anthropomorphic Robotic Grasp Predictions
Niko Kleer,Martin Feick,Michael Feld,Niko Kleer,Martin Feick,Michael Feld
Robotic systems using anthropomorphic end-effectors face tremendous challenges choosing a suitable pose for grasping an object. The fact that the choice of a grasp is influenced by the physical properties of an object, the intended task, and the environment results in a considerable amount of variables. The majority of models targeted towards enabling such robots to determine a suitable grasping p...
