A Learning-Based Adjustable Autonomy Framework for Human–Robot Collaboration
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DOI: 10.1109/tii.2022.3145567
Abstract: In this article, an adjustable autonomy framework is proposed for the human–robot collaboration (HRC) in which a robot uses a reinforcement learning mechanism guided by a human operator’s rewards in an initially unknown workspace. Within… read more here.
Keywords: autonomy; autonomy level; framework; robot ... See more keywords