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Titel:

Analyzing the Influence of Self-defined Trajectories on Safety and Task Ownership: An Empirical Study

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Vortrag / Präsentation
Autor(en):
Pantano, Matteo; Schmidt,Maximilian; Bolano, Gabriele; Schulenburg, Erik; Regulin, Daniel; Saenz, Jose
Abstract:
With the advent of Industry 5.0, human-robot collaboration will change to increase the human involvement and agency in manufacturing. Thus, more user-friendly robot programming methods will be available to define robot trajectories. However, it is still not clear how this will affect the safety of the collaboration. This paper presents an initial investigation into the consequences of permitting users to customize robot motions on their acceptance and safety. The study enabled users to manually...     »
Kongress- / Buchtitel:
19th IEEE International Conference on Automation Science and Engineering (CASE)
Publikationsdatum:
29.08.2023
Jahr:
2023
Sprache:
en
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