VRoboCoop – Trajectory planning to achieve reliable and trustworthy human-robot collaboration

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

The collaboration between humans and robots offers opportunities that are not achievable separately. However, a strategy for collaboration is required, as they differ in their behavior and perception. This work-in-progress paper outlines future research activities in this field, focusing on the integration of collision avoidance into robot movements. Therefore, trajectory planning is formulated as an optimization problem, which considers the human being but also finds the optimal trajectory according to a certain criterion. This reduces the cycle time or the energy required to drive the robot. The description as a multibody system enables a digital twin allowing planning in advance, but also the possibility of real-time control. This creates the basis for trust in the collaboration.
OriginalspracheEnglisch (Amerika)
Titel2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation, ETFA 2024
Redakteure/-innenTullio Facchinetti, Angelo Cenedese, Lucia Lo Bello, Stefano Vitturi, Thilo Sauter, Federico Tramarin
Herausgeber (Verlag)IEEE
Seitenumfang4
ISBN (elektronisch)9798350361230
DOIs
PublikationsstatusVeröffentlicht - 2024
Veranstaltung2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA) - University of Padua, Padua, Italien
Dauer: 10 Sep. 202413 Sep. 2024
https://2024.ieee-etfa.org/

Publikationsreihe

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
ISSN (Print)1946-0740
ISSN (elektronisch)1946-0759

Konferenz

Konferenz2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA)
KurztitelETFA
Land/GebietItalien
OrtPadua
Zeitraum10.09.202413.09.2024
Internetadresse

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