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In this system, image processing methods use resources based on depth and surface measurements with high precision. The system fully processes a panel, observing the state of the surface to detect any potential defect in the panels produced to increase the quality of production.<\/jats:p>","DOI":"10.3390\/automation3020013","type":"journal-article","created":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T02:59:52Z","timestamp":1648954792000},"page":"258-268","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Inspection Application in an Industrial Environment with Collaborative Robots"],"prefix":"10.3390","volume":"3","author":[{"given":"Paulo","family":"Magalhaes","sequence":"first","affiliation":[{"name":"Europneumaq, Rua Senhora da Mestra, n\u00ba 35, 4410-511 Serzedo, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2204-6339","authenticated-orcid":false,"given":"Nuno","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Engineering Institute of Coimbra (ISEC), Polytechnic of Coimbra (IPC), Rua Pedro Nunes\u2014Quinta da Nora, 3030-199 Coimbra, Portugal"},{"name":"GECAD\u2014Knowledge Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Engineering Institute of Porto (ISEP), Polytechnic Institute of Porto (IPP), 4200-465 Porto, Portugal"},{"name":"INESC TEC\u2014Institute for Systems and Computer Engineering, Technology and Science, 4200-465 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,3]]},"reference":[{"key":"ref_1","unstructured":"Soini, A. (2001, January 19\u201321). Machine vision technology take-up in industrial applications. Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis. In Conjunction with 23rd International Conference on Information Technology Interfaces, Pula, Croatia. Available online: https:\/\/www.isispa.org\/past-symposia."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Brosnan, T., and Sun, D.-W. (2004). Improving Quality Inspection of Food Products by Computer Vision\u2014A Review, Elsevier.","DOI":"10.1016\/S0260-8774(03)00183-3"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.tifs.2016.07.011","article-title":"Machine vision system for food grain quality evaluation: A review","volume":"56","author":"Vithu","year":"2016","journal-title":"Trends Food Sci. Technol."},{"key":"ref_4","unstructured":"Davies, R.E. (2012). Machine Vision: Theory, Algorithms, Practicalities, Elsevier. [4th ed.]."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.procir.2014.10.079","article-title":"ROBO-PARTNER: Seamless Human-Robot Cooperation for Intelligent, Flexible and Safe Operations in the Assembly Factories of the Future","volume":"23","author":"Michalos","year":"2014","journal-title":"Procedia CIRP"},{"key":"ref_6","unstructured":"Thiemermann, S. (2005). Direkte Mensch-Roboter-Kooperation in der Kleinteilemontage mit Einem SCARA-Roboter. [Ph.D. Thesis, University of Stuttgart]."},{"key":"ref_7","unstructured":"Pentik\u00e4inen, T., and Richard, S. (2021, December 12). How to Make Collaborative Robot Programming Easier; Teknisk- Naturvetenskaplig Fakultet UTH-Enheten Platbrood, F e G\u00f6rnemann. Available online: http:\/\/www.diva-portal.org\/smash\/get\/diva2:955637\/FULLTEXT01.pdf."},{"key":"ref_8","unstructured":"Platbrood, F., and G\u00f6rnemann, O. (2021, December 12). Safe Robotics\u2014A Seguran\u00e7a em Sistemas Rob\u00f3ticos Colaborativos. Sick\u2014Sensor Intelligence. Available online: https:\/\/www.sick.com\/es\/en\/sensor-solutions-for-robotics\/safe-robotics-sensor-solutions-for-robotics\/w\/safe-robotics\/."},{"key":"ref_9","unstructured":"Vagas, M., Bal\u00e1\u017e, V., and Putala, J. (2021, December 12). The Concept of Human-Robot Cooperation. Transfer Inov\u00e1ci\u00ed 32\/2015. Available online: https:\/\/www.sjf.tuke.sk\/transferinovacii\/pages\/archiv\/transfer\/32-2015\/pdf\/096-099.pdf."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Saenz, J., Elkmann, N., Gibaru, O., and Neto, P. (2018, January 7\u201311). Survey of methods for the design of collaborative robotics applications\u2014Why safety is a barrier to more widespread robotics uptake. Proceedings of the ICMRE 2018: 4th International Conference on Mechatronics and Robotics Engineering, Valenciennes, France.","DOI":"10.1145\/3191477.3191507"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.mechatronics.2018.02.009","article-title":"Survey on human-robot collaboration in industrial settings: Safety, intuitive interfaces, and applications","volume":"55","author":"Villani","year":"2018","journal-title":"Mechatronics"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"101921","DOI":"10.1016\/j.rcim.2019.101921","article-title":"Terminology in the safety of collaborative robotics","volume":"63","author":"Vicentini","year":"2020","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"101998","DOI":"10.1016\/j.rcim.2020.101998","article-title":"Emerging research fields in safety and ergonomics in industrial collaborative robotics: A systematic literature review","volume":"67","author":"Gualtieri","year":"2021","journal-title":"Robot. Comput.-Integr. Manuf."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1109\/TRO.2019.2937471","article-title":"Safety Assessment of Collaborative Robotics through Automated Formal Verification","volume":"36","author":"Vicentini","year":"2020","journal-title":"IEEE Trans. Robot."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.robot.2019.03.003","article-title":"Cobot programming for collaborative industrial tasks: An overview","volume":"116","author":"Marei","year":"2019","journal-title":"Robot. Auton. Syst."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Sherwani, F., Asad, M.M., and Ibrahim, B.S. (2020, January 26\u201327). Collaborative Robots and Industrial Revolution 4.0 (IR 4.0). Proceedings of the International Conference on Emerging Trends in Smart Technologies (ICETST), Karachi, Pakistan.","DOI":"10.1109\/ICETST49965.2020.9080724"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Matheson, E., Minto, R., Zampieri, E.G., Faccio, M., and Rosati, G. (2019). Human\u2013Robotic Collaboration in Manufacturing Applications: A Review. Robotics, 8.","DOI":"10.3390\/robotics8040100"},{"key":"ref_18","unstructured":"Universal Robotics (2021, December 12). Our History. Available online: https:\/\/www.universal-robotics.com\/about-universal-robotics\/our-history."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.promfg.2017.07.113","article-title":"Skill-based dynamic task allocation in Human-Robotic-Cooperation with the example of welding application","volume":"11","author":"Vette","year":"2017","journal-title":"Procedia Manuf."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.procir.2016.02.080","article-title":"Process-oriented task assignment for assembly processes with human\u2013robotics interaction","volume":"44","author":"Muller","year":"2016","journal-title":"Proc. CIRP"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Peternel, L., Kim, W., Babic, J., and Ajoudani, A. (2017, January 15\u201317). Towards ergonomic control of human\u2013robotics co-manipulation and handover. Proceedings of the 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), Birmingham, UK.","DOI":"10.1109\/HUMANOIDS.2017.8239537"},{"key":"ref_22","unstructured":"European Commission (2021, December 12). Periodic Reporting for Period 1\u2014Colrobotics (Collaborative Robotics for Assembly and Kitting in Smart Manufacturing). Tech. Rep., Available online: https:\/\/cordis.europa.eu\/project\/id\/688807."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"P\u00e9rez, L., Rodr\u00edguez, \u00cd., Rodr\u00edguez, N., Usamentiaga, R., and Garc\u00eda, D.F. (2016). Robotics Guidance Using Machine Vision Techniques in Industrial Environments: A Comparative Review. Sensors, 16.","DOI":"10.3390\/s16030335"},{"key":"ref_24","first-page":"137","article-title":"The control of a robotics end-effector using photogrammetry","volume":"33","author":"Clarke","year":"2000","journal-title":"Int. Arch. Photogramm. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.procir.2018.03.043","article-title":"Review of vision-based safety systems for human-robot collaboration","volume":"72","author":"Halme","year":"2018","journal-title":"Procedia CIRP"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Tellaeche, A., Maurtua, I., and Ibarguren, A. (2016, January 6\u20139). Use of machine vision in collaborative robotics: An industrial case. Proceedings of the 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), Berlin, Germany.","DOI":"10.1109\/ETFA.2016.7733689"}],"container-title":["Automation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2673-4052\/3\/2\/13\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:49:17Z","timestamp":1760136557000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2673-4052\/3\/2\/13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,3]]},"references-count":26,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,6]]}},"alternative-id":["automation3020013"],"URL":"https:\/\/doi.org\/10.3390\/automation3020013","relation":{},"ISSN":["2673-4052"],"issn-type":[{"value":"2673-4052","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,3]]}}}