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Toward safer Human-Robot collaboration in MR environment
University of Skövde, School of Engineering Science.
University of Skövde, School of Engineering Science.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Virtual Production Development (VPD))ORCID iD: 0000-0002-8906-630X
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Virtual Production Development (VPD))ORCID iD: 0000-0002-1699-3778
2024 (English)In: Procedia CIRP, E-ISSN 2212-8271, Vol. 126, p. 200-205Article in journal (Refereed) Published
Abstract [en]

This paper presents a Mixed Reality (MR) approach to extend the Safe Move tool from ABB Robot Studio (RS) to view and intuitively edit the safety configuration, allowing the import of existing configurations and the export of modified ones to RS for certification by the expert. The added virtual sensor can detect the user's position allowing collision detection and avoidance. The robot's motion is not only adjusted to the safety zone in which the robot is but also to its relative position to the operator by monitoring in real-time positions of the operator’s hands as well as head and triggering appropriate action in the robot.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 126, p. 200-205
Keywords [en]
Mixed reality, augmented reality, human-robot interaction, safety
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
INF201 Virtual Production Development; VF-KDO; Virtual Production Development (VPD)
Identifiers
URN: urn:nbn:se:his:diva-23451DOI: 10.1016/j.procir.2024.08.324ISI: 001502235300035Scopus ID: 2-s2.0-85208581249OAI: oai:DiVA.org:his-23451DiVA, id: diva2:1818430
Conference
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023
Projects
ACCURATE
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Funder
Knowledge Foundation
Note

CC BY-NC-ND 4.0 DEED

Corresponding author: Tel.: +46-500-44-8547; fax: +46-500-44-8598. E-mail address: bernard.schmidt@his.se

The authors thank Tommy Y. Svensson from ABB Robotics for the kind support. This work was partially financed by the Knowledge Foundation (KKS), Sweden, through the ACCURATE project (2021-2025) and the VF-KDO project (2019-2026). The presented work was located at ASSAR Industrial Innovation Arena Skövde based on a Bachelor's Degree Project by Natalaia and Celia and further developed thereafter.

Available from: 2023-12-11 Created: 2023-12-11 Last updated: 2025-09-29Bibliographically approved

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Sempere Maciá, NataliaRedondo Verdú, CeliaSchmidt, BernardHolm, Magnus

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CiteExportLink to record
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