Reinforcement Learning of Impedance Policies for Peg-in-Hole Tasks: Role of Asymmetric Matrices
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DOI: 10.1109/lra.2022.3191070
Abstract: Robotic manipulators are playing an increasing role in a wide range of industries. However, their application to assembly tasks is hampered by the need for precise control over the environment and for task-specific coding. Cartesian… read more here.
Keywords: reinforcement learning; role; peg hole; impedance ... See more keywords