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

AUTONOMOUS ROBOTS, pp. 1303.0-1322.0, 2020.

Cited by: 0|Bibtex|Views4|DOI:https://doi.org/10.1007/s10514-020-09916-x
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

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 brain activity acquired via EMG and EEG, res...More

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