Ouijdane Guiza presented two papers demonstrating research results of Area 2, Cognitive Robotics and Shopfloors, at the IEEE International Conference of Industrial Informatics (INDIN). The conference, taking place this year between the 21st and 23rd of July, provides a platform to present and discuss the state-of-art and future perspectives of industrial information technologies. Gathering industry experts, researchers, and academics, INDIN covers topics such as industrial cyber-physical systems, Factory automation, industrial digitalization, etc.
The full paper titled “Monitoring of Human-Intensive Assembly Processes Based on Incomplete and Indirect Shopfloor Observations” demonstrates a modeling and heuristic-based monitoring approach for assembly processes using privacy-respecting shopfloor observations. Grounded on a real-industry use case of construction machine assembly from our industry partner Wacker Neuson, the approach yields promising results for tracking assembly progress.
The second paper, titled “Automated Deviation Detection for Partially-Observable Human-Intensive Assembly Processes”, demonstrates a concrete application use case of assembly monitoring. The paper contributes an approach for the automatic detection of multiple types of assembly deviations that can harm the production.
O. Guiza, C. Mayr-Dorn, G. Weichhart, M. Mayhofer, B. B. Zangi, A. Egyed, B. Fanta, and M. Gieler, “Monitoring of human-intensive assembly processes based on incomplete and indirect shopfloor observations” in 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 2021
O. Guiza, C. Mayr-Dorn, G. Weichhart, M. Mayhofer, B. B. Zangi, A. Egyed, B. Fanta, and M. Gieler, “Automated Deviation Detection for Partially-Observable Human-Intensive Assembly Processes” in 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), 2021
