Sim2real Learning of Obstacle Avoidance for Robotic Manipulators in Uncertain Environments
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DOI: 10.1109/lra.2021.3116700
Abstract: Obstacle avoidance for robotic manipulators can be challenging when they operate in unstructured environments. This problem is probed with the sim-to-real (sim2real) deep reinforcement learning, such that a moving policy of the robotic arm is… read more here.
Keywords: learning obstacle; robotic manipulators; obstacle avoidance; avoidance robotic ... See more keywords