Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Search and explore
Search
Explore ORBilu
Open Science
Open Science
Open Access
Research Data Management
Definitions
OS Working group
Webinars
Statistics
Help
User Guide
FAQ
Publication list
Document types
Reporting
Training
ORCID
About
About ORBilu
Deposit Mandate
ORBilu team
Impact and visibility
About statistics
About metrics
OAI-PMH
Project history
Legal Information
Data protection
Legal notices
Back
Home
Detailed Reference
Download
Article (Scientific journals)
Digital Twin for Human–Robot Interactions by Means of Industry 4.0 Enabling Technologies
Gallala, Abir
;
KUMAR, Atal Anil
;
HICHRI, Bassem
et al.
2022
•
In
Sensors, 22
(13), p. 1-17
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/10993/51811
DOI
10.3390/s22134950
PubMed
35808462
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
sensors-22-04950.pdf
Publisher postprint (4.83 MB)
Download
All documents in ORBilu are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Gallala, Abir
KUMAR, Atal Anil
;
University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
HICHRI, Bassem
;
University of Luxembourg
PLAPPER, Peter
;
University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
External co-authors :
no
Language :
English
Title :
Digital Twin for Human–Robot Interactions by Means of Industry 4.0 Enabling Technologies
Publication date :
30 June 2022
Journal title :
Sensors
ISSN :
1424-8220
eISSN :
1424-3210
Publisher :
Multidisciplinary Digital Publishing Institute (MDPI), Basel, Switzerland
Volume :
22
Issue :
13
Pages :
1-17
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 31 July 2022
Statistics
Number of views
133 (8 by Unilu)
Number of downloads
148 (4 by Unilu)
More statistics
Scopus citations
®
66
Scopus citations
®
without self-citations
66
OpenCitations
3
OpenAlex citations
70
WoS citations
™
46
Bibliography
Similar publications
Contact ORBilu