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Projective-AR Assistance System for shared Human-Robot Workplaces in Industrial Applications

 
: Vogel, C.; Schulenburg, E.; Elkmann, N.

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Industrial Electronics Society -IES-:
25th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2020. Proceedings : Vienna, Austria - Hybrid, 08 - 11 September 2020
Piscataway, NJ: IEEE, 2020
ISBN: 978-1-7281-8956-7
ISBN: 978-1-7281-8957-4
S.1259-1262
International Conference on Emerging Technologies and Factory Automation (ETFA) <25, 2020, Online>
Englisch
Konferenzbeitrag
Fraunhofer IFF ()

Abstract
Projective Augmented Reality (AR) systems are widely used in robotics. Main applications include information visualization to illustrate the intention of a robot or mobile platform, failure modes or teaching. A new topic in the field of projective AR for human-robot cooperation (HRC) states the visualization of safety-related information. In this industry practice paper, we present a system and method that realizes the illustration of safety zones monitored by laser-scanners. Furthermore, the system was build-up at a real industrial application with human- robot coexistence in a shared workspace.

: http://publica.fraunhofer.de/dokumente/N-614545.html