High-level features for resource economy and fast learning in skill transfer
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DOI: 10.1080/01691864.2021.2019613
Abstract: Abstraction is an important aspect of intelligence which enables agents to construct robust representations for effective and efficient decision making. Although, deep neural networks are proven to be effective learning systems due to their ability… read more here.
Keywords: skill; skill transfer; task; level features ... See more keywords
A Framework for Composite Layup Skill Learning and Generalizing Through Teleoperation
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2022.840240
Abstract: In this article, an impedance control-based framework for human-robot composite layup skill transfer was developed, and the human-in-the-loop mechanism was investigated to achieve human-robot skill transfer. Although there are some works on human-robot skill transfer,… read more here.
Keywords: teleoperation; skill; human robot; robot ... See more keywords