Plug-and-play supervisory control using muscle and brain signals for real-time gesture and error detection

Effective human supervision of robots can be key for ensuring correct robot operation in a variety of potentially safety-critical scenarios. This paper takes a step towards fast and reliable human intervention in supervisory control tasks by combining two streams of human biosignals: muscle and brai...

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Bibliographic Details
Main Authors: DelPreto, Joseph Jeff (Author), Salazar Gomez, Andres Felipe (Author), Gil, Stephanie (Author), Hasani, Ramin (Author), Guenther, Frank H (Author), Rus, Daniela L (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Springer US, 2020-11-12T20:16:48Z.
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