Reinforcement learning of tactile grasp policies

Apparatuses, systems, and techniques to perform a grasp of on object using an articulated robotic hand equipped with one or more tactile sensors. In at least one embodiment, a machine-learned model trained in simulation to grasp a cuboid using signals received from tactile sensors is applied to gras...

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Bibliographische Detailangaben

Hauptverfasser:	TREMBLAY, Jonathan, VIJAY KUMAR, Visak Chadalavada, HERMANS, Tucker
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING CHAMBERS PROVIDED WITH MANIPULATION DEVICES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HAND TOOLS MANIPULATORS PERFORMING OPERATIONS PHYSICS PORTABLE POWER-DRIVEN TOOLS TRANSPORTING
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