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. 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.
L. Schmid, T. Klotz, O. Röhrle, R. Powers, F. Negro, and U. Yavuz. Software, (2023)Related to: Schmid L, Klotz T, Röhrle O, Powers RK, Negro F, et al. (2024) Postinhibitory excitation in motoneurons can be facilitated by hyperpolarization-activated inward currents: A simulation study. PLOS Computational Biology 20(1): e1011487. doi: 10.1371/journal.pcbi.1011487.
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)
A. Sahrmann, L. Gizzi, A. Zanker, G. Handsfield, and O. Röhrle. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), page 3899-3902. Piscataway, IEEE, (2022)
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.
P. Asgharzadeh, B. Özdemir, S. Müller, O. Röhrle, and R. Reski. Biomimetic Research for Architecture and Building Construction : Biological Design and Integrative Structures, 8, chapter 13, Springer, Cham, (2016)
C. Bleiler, and O. Röhrle. Solid (Bio)mechanics : Challenges of the Next Decade : A Book Dedicated to Professor Gerhard A. Holzapfel, 24, Springer, Cham, (2022)
T. Klotz, L. Lehmann, F. Negro, and O. Röhrle. Dataset, (2023)Related to: Klotz, T., Lehmann, L., Negro, F., & Röhrle, O. (2023). High-density magnetomyography is superior to high-density surface electromyography for motor unit decomposition: a simulation study. Journal of Neural Engineering 20 (2023) 046022. doi: 10.1088/1741-2552/ace7f7.
H. Saini, and O. Röhrle. Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering II, 38, page 234-243. Cham, Springer, (2022)
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.
I. Wochner, and S. Schmitt. Software, (2022)Related to: Wochner, I., Schumacher, P., Martius, G., Büchler, D., Schmitt, S., & Haeufle, D. F. (2022). Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. Conference on Robot Learning (CoRL) 2022. url: https://openreview.net/forum?id=Xo3eOibXCQ8.
S. Shuva, P. Buchfink, O. Röhrle, and B. Haasdonk. Large-Scale Scientific Computing : 13th International Conference, LSSC 2021, Sozopol, Bulgaria, June 7-11, 2021, Revised Selected Papers, 13127, page 402-409. Cham, Springer, (2021)
Z. Trivedi, D. Gehweiler, J. Wychowaniec, T. Ricken, B. Gueorguiev-Rüegg, A. Wagner, and O. Röhrle. Dataset, (2022)Related to: Trivedi, Z., Gehweiler, D., Wychowaniec, J.K., Ricken, T., Gueorguiev, B., Wagner, A., Röhrle, O., 2023. A continuum mechanical porous media model for vertebroplasty: Numerical simulations and experimental validation. Biomech Model Mechanobiol. doi: 10.1007/s10237-023-01715-4.
H. Saini. Dataset, (2022)Related to: Saini, H., & Röhrle, O. (2022). A Biophysically Guided Constitutive Law of the Musculotendon-Complex: Modelling and Numerical Implementation in Abaqus. Computer Methods and Programs in Biomedicine. doi: 10.1016/j.cmpb.2022.107152.
N. Taubert, J. St. Amand, P. Kumar, L. Gizzi, and M. Giese. Artificial Neural Networks
and Machine Learning : ICANN 2020 : 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I, volume 1 of Lecture Notes in Computer Science, page 127-140. Cham, Springer, (2020)
K. Stollenmaier, I. Rist, F. Izzi, and D. Häufle. 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), page 779-784. Piscataway, NJ, IEEE, (2020)
J. Walter, I. Wochner, M. Jacob, K. Stollenmaier, P. Lerge, and S. Schmitt. Software, (2022)Related to: Walter, J. R., Günther, M., Haeufle, D. F. & Schmitt, S. (2021). A geometry-and muscle-based control architecture for synthesising biological movement. Biological cybernetics, 115(1), 7-37. doi: 10.1007/s00422-020-00856-4.
I. Wochner, and S. Schmitt. Software, (2022)Related to: Wochner, I., Driess, D., Zimmermann, H., Haeufle, D. F., Toussaint, M., & Schmitt, S. (2020). Optimality principles in human point-to-manifold reaching accounting for muscle dynamics. Frontiers in computational neuroscience, 14, 38. doi: 10.3389/fncom.2020.00038.
L. Nölle, P. Lerge, O. Martynenko, I. Wochner, F. Kempter, C. Kleinbach, S. Schmitt, and J. Fehr. Dataset, (2022)Related to: Kleinbach, C., Martynenko, O., Promies, J., Haeufle, D.F., Fehr, J., Schmitt, S., 2017. Implementation and validation of the extended hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models. Biomedical engineering online 16, 109. doi: 10.1186/s12938-017-0399-7.
I. Wochner, and S. Schmitt. Dataset, (2022)Related to: Wochner, I., Nölle, L. V., Martynenko, O. V., & Schmitt, S. (2022). ‘Falling heads’: investigating reflexive responses to head-neck perturbations. Biomedical engineering online, 21(1), article no. 25. doi: 10.1186/s12938-022-00994-9.
I. Wochner. Dataset, (2022)Related to: Wochner, I., Nölle, L. V., Martynenko, O. V., & Schmitt, S. (2022). ‘Falling heads’: investigating reflexive responses to head-neck perturbations. Biomedical engineering online, 21(1), article no. 25. doi: 10.1186/s12938-022-00994-9.
I. Wochner, and S. Schmitt. Software, (2022)Related to: Wochner, I., Nölle, L. V., Martynenko, O. V., & Schmitt, S. (2022). ‘Falling heads’: investigating reflexive responses to head-neck perturbations. Biomedical engineering online, 21(1), article no. 25. doi: 10.1186/s12938-022-00994-9.
I. Wochner, and S. Schmitt. Dataset, (2022)Related to: Wochner, I., Nölle, L. V., Martynenko, O. V., & Schmitt, S. (2022). ‘Falling heads’: investigating reflexive responses to head-neck perturbations. Biomedical engineering online, 21(1), article no. 25. doi: 10.1186/s12938-022-00994-9.