REINFORCEMENT LEARNING OF TACTILE GRASP POLICIES

摘要

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 grasping objects of various shapes in a real-world environment.