{"status":"public","citation":{"havard":"P. Sehr, N. Moriz, M. Heinz-Jakobs, H. Trsek, Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems, in: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, Piscataway, NJ, 2022.","ama":"Sehr P, Moriz N, Heinz-Jakobs M, Trsek H. Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE; 2022. doi:10.1109/ETFA52439.2022.9921676","din1505-2-1":"Sehr, Philip ; Moriz, Natalia ; Heinz-Jakobs, Mario ; Trsek, Henning: Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ : IEEE, 2022","ufg":"Sehr, Philip u. a.: Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems, in: o. Hg.: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Piscataway, NJ 2022.","van":"Sehr P, Moriz N, Heinz-Jakobs M, Trsek H. Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE; 2022.","bjps":"Sehr P et al. (2022) Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE.","apa":"Sehr, P., Moriz, N., Heinz-Jakobs, M., & Trsek, H. (2022). Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart. https://doi.org/10.1109/ETFA52439.2022.9921676","chicago":"Sehr, Philip, Natalia Moriz, Mario Heinz-Jakobs, and Henning Trsek. “Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems.” In 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE, 2022. https://doi.org/10.1109/ETFA52439.2022.9921676.","short":"P. Sehr, N. Moriz, M. Heinz-Jakobs, H. Trsek, in: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, Piscataway, NJ, 2022.","chicago-de":"Sehr, Philip, Natalia Moriz, Mario Heinz-Jakobs und Henning Trsek. 2022. Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems. In: 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway, NJ: IEEE. doi:10.1109/ETFA52439.2022.9921676, .","mla":"Sehr, Philip, et al. “Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems.” 2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2022, https://doi.org/10.1109/ETFA52439.2022.9921676.","ieee":"P. Sehr, N. Moriz, M. Heinz-Jakobs, and H. Trsek, “Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems,” presented at the 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, 2022. doi: 10.1109/ETFA52439.2022.9921676."},"type":"conference","place":"Piscataway, NJ","language":[{"iso":"eng"}],"title":"Am I Done Learning? - Determining Learning States in Adaptive Assembly Systems","date_updated":"2024-03-05T14:09:00Z","date_created":"2024-03-01T14:36:35Z","_id":"11166","year":"2022","publication_status":"published","conference":{"start_date":"2022-09-06","end_date":"2022-09-09","name":"27th International Conference on Emerging Technologies and Factory Automation (ETFA)","location":"Stuttgart"},"author":[{"id":"71582","full_name":"Sehr, Philip","last_name":"Sehr","first_name":"Philip"},{"full_name":"Moriz, Natalia","id":"44238","first_name":"Natalia","last_name":"Moriz"},{"last_name":"Heinz-Jakobs","first_name":"Mario","id":"85220","full_name":"Heinz-Jakobs, Mario"},{"last_name":"Trsek","first_name":"Henning","id":"1486","full_name":"Trsek, Henning","orcid":"0000-0002-0133-0656"}],"publisher":"IEEE","doi":"10.1109/ETFA52439.2022.9921676","department":[{"_id":"DEP5023"}],"user_id":"83781","abstract":[{"text":"n order to utilize the full potential of an assembly assistant, it is necessary for the system to be able to adapt to the worker’s individual needs and capabilities. The required amount of necessary assistance changes during the assembly work because the worker memorizes the steps and learns the task and might be bothered by unnecessary assistance. Finding the point in time where the learning phase of the worker is finished is therefore an important aspect. In this work, we propose and evaluate a novel method to identify the end of the worker’s learning phase. The method makes use of learning curve models and curve fitting in order to determine the progress of the worker.","lang":"eng"}],"publication":"2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","publication_identifier":{"isbn":["9781665499965"]}}