@article{WilhelmManghisiUvaetal., author = {Wilhelm, Markus and Manghisi, Vito Modesto and Uva, Antonello and Fiorentino, Michele and Br{\"a}utigam, Volker and Engelmann, Bastian and Schmitt, Jan}, title = {ErgoTakt: A novel approach of human-centered balancing of manual assembly lines}, series = {Procedia CIRP}, volume = {97}, journal = {Procedia CIRP}, doi = {https://doi.org/10.1016/j.procir.2020.05.250}, pages = {354 -- 360}, abstract = {Although the increasing use of automation in industry, manual assembly stations are still common and, in some situations, even inevitable. Current practice in manual assembly lines is to balance them using the takt-time of each workstation and harmonize it. However, this approach mostly does not include ergonomic aspects and thus it may lead to workforce musculoskeletal disorders, extended leaves, and demotivation. This paper presents a holistic human-centric optimization method for line balancing using a novel indicator ΜΆ the ErgoTakt. ErgoTakt improves the legacy takt-time and helps to find an optimum between the ergonomic evaluation of an assembly station and its balance in time. The authors used a custom version of the ErgoSentinel Software and a Microsoft Kinect depth camera to perform online and real-time ergonomic assessment. An optimization algorithm is developed to find the best-fitting solution by minimizing a function of the ergonomic RULA-value and the cycle time of each assembly workstation with respect to the worker's ability. The paper presents the concept, the system-setup and preliminary evaluation of an assembly scenario. The results demonstrate that the new approach is feasible and able to optimize an entire manual assembly process chain in terms of both, economic aspects of a well-balanced production line as well as the ergonomic issue of long term human healthy work.}, language = {en} } @inproceedings{SchmittHillenbrandKranzetal., author = {Schmitt, Jan and Hillenbrand, Andreas and Kranz, Philipp and Kaupp, Tobias}, title = {Assisted human-robot-interaction for industrial assembly: Application of spatial augmented reality (sar) for collaborative assembly tasks}, series = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction}, booktitle = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction}, pages = {52 -- 56}, language = {en} } @inproceedings{SchmittKranzHillenbrandetal., author = {Schmitt, Jan and Kranz, Philipp and Hillenbrand, Andreas and Kaupp, Tobias}, title = {Assisted human-robot-interaction for industrial assembly: Video to assisted human-robot-interaction for industrial assembly}, series = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction}, booktitle = {Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction}, pages = {665 -- 667}, language = {en} } @inproceedings{VoglerKauppSchmittetal., author = {Vogler, N. and Kaupp, Tobias and Schmitt, Jan and Antelmann, H.}, title = {Maturity level models for the evaluation of the digitalization progress of assembly-intensive production processes}, series = {German Assembly Engineering 2019}, booktitle = {German Assembly Engineering 2019}, language = {en} } @inproceedings{KranzKristhofenSchirmeretal., author = {Kranz, Philipp and Kristhofen, Dennis and Schirmer, Fabian and Rose, Chad G. and Schmitt, Jan and Kaupp, Tobias}, title = {Gesture vs. Touch Control for Unforeseen Situations of Human-Robot Collaborative Assembly}, series = {2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)}, booktitle = {2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)}, publisher = {IEEE}, doi = {10.1109/HRI61500.2025.10974148}, pages = {1433 -- 1437}, language = {en} } @inproceedings{SchirmerKranzRoseetal., author = {Schirmer, Fabian and Kranz, Philipp and Rose, Chad G. and Willert, Volker and Schmitt, Jan and Kaupp, Tobias}, title = {Utilizing Eye Gaze for Human-Robot Collaborative Assembly}, series = {2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)}, booktitle = {2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI)}, publisher = {IEEE}, doi = {10.1109/HRI61500.2025.10974041}, pages = {1603 -- 1607}, language = {en} } @article{MillerEngelmannKauppetal., author = {Miller, Eddi and Engelmann, Bastian and Kaupp, Tobias and Schmitt, Jan}, title = {Advanced Cascaded Scheduling for Highly Autonomous Production Cells with Material Flow and Tool Lifetime Consideration using AGVs}, series = {Journal of Machine Engineering}, journal = {Journal of Machine Engineering}, issn = {2391-8071}, language = {en} } @inproceedings{SeitzSchmittEngelmann, author = {Seitz, Philipp and Schmitt, Jan and Engelmann, Bastian}, title = {Evaluation of proceedings for SMEs to conduct I4.0 projects}, series = {Procedia Cirp}, volume = {86}, booktitle = {Procedia Cirp}, pages = {257 -- 263}, language = {en} } @inproceedings{SchirmerKranzSchmittetal., author = {Schirmer, Fabian and Kranz, Philipp and Schmitt, Jan and Kaupp, Tobias}, title = {Anomaly Detection for Dynamic Human-Robot Assembly: Application of an LSTM-based autoencoder to interpret uncertain human behavior in HRC}, series = {Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction}, booktitle = {Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction}, doi = {10.1145/3568294.3580100}, pages = {881 -- 883}, language = {en} } @inproceedings{MillerKauppSchmitt, author = {Miller, Eddi and Kaupp, Tobias and Schmitt, Jan}, title = {Cascaded Scheduling for Highly Autonomous Production Cells with AGVs}, series = {Manufacturing Driving Circular Economy: Proceedings of the 18th Global Conference on Sustainable Manufacturing, October 5-7, 2022, Berlin ; Lecture Notes in Mechanical Engineering}, booktitle = {Manufacturing Driving Circular Economy: Proceedings of the 18th Global Conference on Sustainable Manufacturing, October 5-7, 2022, Berlin ; Lecture Notes in Mechanical Engineering}, editor = {Kohl, Holger and Seliger, G{\"u}nther and Dietrich, Franz}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-28838-8}, doi = {https://doi.org/10.1007/978-3-031-28839-5_43}, pages = {383 -- 390}, abstract = {Highly autonomous production cells are a crucial part of manufacturing systems in industry 4.0 and can contribute to a sustainable value-adding process. To realize a high degree of autonomy in production cells with an industrial robot and a machine tool, an experimental approach was carried out to deal with numerous challenges on various automation levels. One crucial aspect is the scheduling problem of tasks for each resource (machine tool, tools, robot, AGV) depending on various data needed for a job-shop scheduling algorithm. The findings show that the necessary data has to be derived from different automation levels in a company: horizontally from ERP to shop-floor, vertically from the order handling department to the maintenance department. Utilizing that data, the contribution provides a cascaded scheduling approach for machine tool jobs as well as CNC and robot tasks for highly autonomous production cells supplied by AGVs.}, language = {en} }