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Digital Twin-Based Transfer Learning for Collaborative Robot Systems: A Proof of Concept

Roongpraiwan, Supat (Corresponding author) ; Li, Zongdian (Corresponding author) ; Pourghasemian, Mohsen (Corresponding author)^RWTH* ; Gacanin, Haris (Corresponding author)^RWTH* ; Sakaguchi, Kei (Corresponding author)

In
The 38th International Conference on Information Networking (ICOIN 2024) : January 17 (Wed.)-19 (Fri.), 2024, Ho Chi Minh City, Vietnam & virtual conference / ICOIN 2024 ; organized by: Korean Institute of Informations Scientists and Engineers ; technically co-sponsored by: IEEE, IEEE Computer Society, IEICE Communications Society ; sponsored by KICS - Korean Institute of Communications and Information Sciences, Seiten/Artikel-Nr: 593-598

2024

Konferenz/Event:38. International Conference on Information Networking , Ho Chi Minh City , Vietnam , ICOIN 2024 , 2024-01-17 - 2024-01-19

ImpressumPiscataway, NJ : IEEE

Umfang593-598

ISBN979-8-3503-3094-6, 979-8-3503-3095-3, 9798350330946, 9798350330953

Online
DOI: 10.1109/ICOIN59985.2024.10572128
10.1109/ICOIN59985.2024.10572128

Einrichtungen

1. Lehrstuhl für Verteilte Signalverarbeitung (612310)

Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85198345360
WOS Core Collection: WOS:001266125000116

Interne Identnummern
RWTH-2024-09381
Datensatz-ID: 994563

Beteiligte Länder
Germany, Japan