Deep Learning for Safe Human-Robot Collaboration

Reference : Deep Learning for Safe Human-Robot Collaboration


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/48697

Title :	Deep Learning for Safe Human-Robot Collaboration
Language :	English
Author, co-author :	Duque, Nicolas []
	Mejia, Lina []
	Martinez Luna, Carol [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics >]
	Jaramillo, Daniel []
Publication date :	21-Nov-2021
Main document title :	Advances in Automation and Robotics Research
Publisher :	Springer
Peer reviewed :	Yes
Audience :	International
ISBN :	978-3-030-90033-5
Event name :	3rd Latin American Congress on Automation and Robotics
Event date :	November 2021
Permalink :	http://hdl.handle.net/10993/48697
DOI :	10.1007/978-3-030-90033-5_26

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	Deep_Learning_for_Safe_Human_Robot_Collaboration.pdf		Author preprint	21.26 MB	View/Open

All documents in ORBi^lu are protected by a user license.