An online robot collision detection and identification scheme by supervised learning and Bayesian decision theory

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Metadaten
Author:Zengjie Zhang, Kun Qian, Björn SchullerORCiDGND, Dirk Wollherr
URN:urn:nbn:de:bvb:384-opus4-881702
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/88170
ISSN:1545-5955OPAC
ISSN:1558-3783OPAC
Parent Title (English):IEEE Transactions on Automation Science and Engineering
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Type:Article
Language:English
Year of first Publication:2021
Publishing Institution:Universität Augsburg
Release Date:2021/08/03
Tag:Control and Systems Engineering; Electrical and Electronic Engineering
Volume:18
Issue:3
First Page:1144
Last Page:1156
DOI:https://doi.org/10.1109/tase.2020.2997094
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

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