T. Nadler, S. Wolfen, D. Häufle, and S. Schmitt. Dataset, (2024)Related to: Driess, D., Zimmermann, H., Wolfen, S., Suissa, D., Haeufle, D., Hennes, D., Toussaint, M. & Schmitt, S. (2018, May). Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties. In 2018 IEEE International Conference on robotics and automation (ICRA) (pp. 6461-6468). IEEE. doi: 10.1109/ICRA.2018.8463160.
P. Lerge, L. Nölle, and S. Schmitt. Dataset, (2023)Related to: Lerge P., Nölle L.V., Schmitt S., Deep learning-based estimation of the neutral body posture considering three-dimensional local joint angles, Human Factors 2023.
J. Völter, T. Ricken, and O. Röhrle. 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 23, 1, page e202200070. Wiley-VCH, (2023)
J. Kneifl, D. Rosin, O. Avci, O. Röhrle, and J. Fehr. Software, (2023)Related to: Kneifl, J, Rosin, D., Röhrle, O., Fehr, J.: Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction, 2022. tbd.
P. Santana Chacon, M. Hammer, I. Wochner, J. Walter, and S. Schmitt. Software, (2023)Related to: P. F. S. Chacon, M. Hammer, I. Wochner, J. R. Walter and S. Schmitt. A physiologically enhanced muscle spindle model: using a Hill-type model for extrafusal fibers as template for intrafusal fibers. doi: 10.1080/10255842.2023.2293652.
E. Bunz, D. Häufle, C. Remy, and S. Schmitt. Software, (2023)Related to: Bunz E.K., Haeufle D.F.B., Remy C.D., Schmitt S. Bioinspired Preactivation ReflexIncreases Robustness of Walking on Rough Terrain. Scientific Reports 2023. doi: 10.1038/s41598-023-39364-3.