@inproceedings{SuessMelznerDendorfer, author = {Suess, Franz and Melzner, Maximilian and Dendorfer, Sebastian}, title = {Towards ergonomics working - machine learning algorithms and musculoskeletal modeling}, series = {IOP Conference Series: Materials Science and Engineering}, volume = {1208}, booktitle = {IOP Conference Series: Materials Science and Engineering}, publisher = {IOP Publishing}, issn = {1757-899X}, doi = {10.1088/1757-899X/1208/1/012001}, abstract = {Ergonomic workplaces lead to fewer work-related musculoskeletal disorders and thus fewer sick days. There are various guidelines to help avoid harmful situations. However, these recommendations are often rather crude and often neglect the complex interaction of biomechanical loading and psychological stress. This study investigates whether machine learning algorithms can be used to predict mechanical and stress-related muscle activity for a standardized motion. For this purpose, experimental data were collected for trunk movement with and without additional psychological stress. Two different algorithms (XGBoost and TensorFlow) were used to model the experimental data. XGBoost in particular predicted the results very well. By combining it with musculoskeletal models, the method shown here can be used for workplace analysis but also for the development of real-time feedback systems in real workplace environments.}, language = {en} } @inproceedings{KaramaraBogdanskiZoelleretal., author = {Karamara, Merve and Bogdanski, Moritz-Ole and Z{\"o}ller, Raphael and Albrecht, Sophie Viktoria and Linner, Thomas and Bock, Thomas and Braml, Thomas}, title = {Increasing efficiency and sustainability: A comparative analysis of concrete 3D printing and traditional methods based on case studies}, series = {MATEC Web of Conferences}, volume = {409}, booktitle = {MATEC Web of Conferences}, publisher = {EDP Sciences}, doi = {10.1051/matecconf/202540913005}, pages = {7}, abstract = {At the forthcoming Concrete Solutions 2025 conference, the subject of concrete 3D printing will be explored in the "Case Studies" category, with a comparison to traditional methods. Concrete 3D printing offers several significant advantages, including the ability to create complex geometries, increased material efficiency, faster build times and cost savings. These are particularly important in the context of the current skilled labour shortage and emphasis on resource efficiency in construction. Nevertheless, challenges persist in the areas of machine reliability, process integration, and material adaptation to meet the requirements of 3D printing. The case studies will present modular and design-engineering-based strategies for the development of efficient, scalable automation solutions that integrate 3D printing into existing processes and allow for project-specific customisation through selective automation. These findings provide a robust framework for industrial applications that enhance efficiency and adaptability. By comparing concrete 3D printing to conventional methods, the insights offer a foundation for advancing automated production in construction, promoting scalable, resource-efficient, and economically sustainable practices that address the industry's evolving demands.}, language = {en} }