prikaz prve stranice dokumenta Visual quality and safety monitoring system for human-robot cooperation
  Download
PDF 2.72 MB
Scientific paper - Original scientific paper
Visual quality and safety monitoring system for human-robot cooperation
The International Journal of Advanced Manufacturing Technology, 128 (2023), 1-2; 685-701. https://doi.org/10.1007/s00170-023-11698-2
Kozamernik, Nejc; Zaletelj, Janez; Košir, Andrej; Šuligoj, Filip; Bračun, Drago

Cite this document

Kozamernik, N., Zaletelj, J., Košir, A., Šuligoj, F. & Bračun, D. (2023). Visual quality and safety monitoring system for human-robot cooperation. The International Journal of Advanced Manufacturing Technology, 128. (1-2), 685-701. doi: 10.1007/s00170-023-11698-2

Kozamernik, Nejc, et al. "Visual quality and safety monitoring system for human-robot cooperation." The International Journal of Advanced Manufacturing Technology, vol. 128, no. 1-2, 2023, pp. 685-701. https://doi.org/10.1007/s00170-023-11698-2

Kozamernik, Nejc, Janez Zaletelj, Andrej Košir, Filip Šuligoj and Drago Bračun. "Visual quality and safety monitoring system for human-robot cooperation." The International Journal of Advanced Manufacturing Technology 128, no. 1-2 (2023): 685-701. https://doi.org/10.1007/s00170-023-11698-2

Kozamernik, N., et al. (2023) 'Visual quality and safety monitoring system for human-robot cooperation', The International Journal of Advanced Manufacturing Technology, 128(1-2), pp. 685-701. doi: 10.1007/s00170-023-11698-2

Kozamernik N, Zaletelj J, Košir A, Šuligoj F, Bračun D. Visual quality and safety monitoring system for human-robot cooperation. The International Journal of Advanced Manufacturing Technology [Internet]. 2023 July 18 [cited 2024 November 22];128(1-2):685-701. doi: 10.1007/s00170-023-11698-2

N. Kozamernik, J. Zaletelj, A. Košir, F. Šuligoj and D. Bračun, "Visual quality and safety monitoring system for human-robot cooperation", The International Journal of Advanced Manufacturing Technology, vol. 128, no. 1-2, pp. 685-701, July 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:235:176788. [Accessed: 22 November 2024]

Please login to the repository to save this object to your list.
Metadata
Title (english)Visual quality and safety monitoring system for human-robot cooperation
AuthorNejc Kozamernik
AuthorJanez Zaletelj
AuthorAndrej Košir
AuthorFilip Šuligoj
AuthorDrago Bračun
Author's institutionUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
General Mechanical Engineering (Construction)
Abstract (english)
Abstract Efficient workspace awareness is critical for improved interaction in cooperative and collaborative robotic applications. In addition to safety and control aspects, quality-related tasks such as the monitoring of manual activities and the final quality assessment of the results are also required. In this context, a visual quality and safety monitoring system is developed and evaluated. The system integrates close-up observation of manual activities and posture monitoring. A compact single-camera stereo vision system and a time-of-flight depth camera are used to minimize the interference of the sensors with the operator and the workplace. Data processing is based on a deep learning to detect classes related to quality and safety aspects. The operation of the system is evaluated while monitoring a human-robot manual assembly task. The results show that the system ensures a high level of safety, provides reliable visual feedback to the operator on errors in the assembly process, and inspects the finished assembly with a low critical error rate.
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionAccepted version
Journal titleThe International Journal of Advanced Manufacturing Technology
Numberingvol. 128, no. 1-2, pp. 685-701
p-ISSN0268-3768
e-ISSN1433-3015
DOIhttps://doi.org/10.1007/s00170-023-11698-2
URN:NBNurn:nbn:hr:235:176788
Publication2023-07-18
Document URLhttps://link.springer.com/10.1007/s00170-023-11698-2
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-07-09 06:47:05