CLUE-AI: A Convolutional Three-Stream Anomaly Identification Framework for Robot Manipulation

Despite the great promise of service robots in everyday tasks, many roboethics issues remain to be addressed before these robots can physically work in human environments. Robot safety is one of the essential concerns for roboethics which is not just a design-time issue. It is also crucial to devise...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.48347-48357
Hauptverfasser:	Altan, Dogan, Sariel, Sanem
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Anomaly detection anomaly identification Artificial neural networks Cognition Cognitive robots Data transmission Deep learning Feature extraction Hidden Markov models Humanoid Image manipulation Indicators Propioception Robot control robot learning robot manipulation robot safety Robots Service robots Torso Visualization
Online-Zugang:	Volltext
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