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Redondo Verdú, Celia
Publications (3 of 3) Show all publications
Redondo Verdú, C., Sempere Maciá, N., Strand, M., Holm, M., Schmidt, B. & Olsson, J. (2024). Enhancing Manual Assembly Training using Mixed Reality and Virtual Sensors. Paper presented at 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023. Procedia CIRP, 126, 769-774
Open this publication in new window or tab >>Enhancing Manual Assembly Training using Mixed Reality and Virtual Sensors
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2024 (English)In: Procedia CIRP, E-ISSN 2212-8271, Vol. 126, p. 769-774Article in journal (Refereed) Published
Abstract [en]

In recent years Mixed Reality technology has been widely used to enhance operators in manual assembly operations. This paper introduces a Mixed Reality environment for assembly operations and describes how the process can be supported by virtual sensors. The structure of the environment allows seamless adaption from a fully virtual training scenario, only using virtual assets, to a full production scenario supporting operators in assembling physical products in actual production. The training system which has been developed together with the company Skandia Elevator in Sweden enables the operators to train with much less disturbance to the real production line compared to training using the actual production equipment. In fact, the training can be done only using virtual assets.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
augmented reality, mixed reality, manual assembly, operator training
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
INF201 Virtual Production Development; Virtual Production Development (VPD); VF-KDO
Identifiers
urn:nbn:se:his:diva-23452 (URN)10.1016/j.procir.2024.08.328 (DOI)001502235300132 ()2-s2.0-85208597536 (Scopus ID)
Conference
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023
Projects
ACCURATE
Funder
Knowledge Foundation
Note

CC BY-NC-ND 4.0 DEED

Corresponding author. Tel.: +46-500-448551; E-mail address: magnus.holm@his.se

Available from: 2023-12-11 Created: 2023-12-11 Last updated: 2025-09-29Bibliographically approved
Sempere Maciá, N., Redondo Verdú, C., Schmidt, B. & Holm, M. (2024). Programming Environment for cobots using MR technology. Paper presented at 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023. Procedia CIRP, 126, 194-199
Open this publication in new window or tab >>Programming Environment for cobots using MR technology
2024 (English)In: Procedia CIRP, E-ISSN 2212-8271, Vol. 126, p. 194-199Article in journal (Refereed) Published
Abstract [en]

This paper presents a Mixed reality (MR) environment to support industrial cobots programming for welding purposes. Several intuitive menus allow a user to program the path, which can be configured and simulated in the virtual environment with reachability checking. A guide can be activated to show recommended steps and allows validation of the created program on the virtual robot to aid the learning process. The MR application is integrated with a robot programming platform and a robot controller, that allows the user to test paths on a real robot. Moreover, results from spatial accuracy and user experience evaluations are presented.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Mixed reality, augmented reality, human-robot interaction, safety
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Virtual Production Development (VPD); VF-KDO
Identifiers
urn:nbn:se:his:diva-23449 (URN)10.1016/j.procir.2024.08.323 (DOI)001502235300034 ()2-s2.0-85208591935 (Scopus ID)
Conference
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023
Projects
ACCURATE
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 VF-KDO project (2019-2026). The work was located at ASSAR Industrial Innovation Arena Skövde as part of a Bachelor's Degree Project.

Available from: 2023-12-11 Created: 2023-12-11 Last updated: 2025-09-29Bibliographically approved
Sempere Maciá, N., Redondo Verdú, C., Schmidt, B. & Holm, M. (2024). Toward safer Human-Robot collaboration in MR environment. Paper presented at 17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023. Procedia CIRP, 126, 200-205
Open this publication in new window or tab >>Toward safer Human-Robot collaboration in MR environment
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
Keywords
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:nbn:se:his:diva-23451 (URN)10.1016/j.procir.2024.08.324 (DOI)001502235300035 ()2-s2.0-85208581249 (Scopus ID)
Conference
17th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '23, Gulf of Naples, Italy, 12 - 14 July 2023
Projects
ACCURATE
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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