M. Wnuk, F. Jaensch, D. Tomzik, Z. Chen, J. Terfurth, S. Kandasamy, J. Shahabi, A. Garrett, M. Mahmoudinezhad, A. Csiszar und 3 andere Autor(en). Dataset, (2020)Related to: Gal Gorjup, Anany Dwivedi, Nathan Elangovan, and Minas Liarokapis, Än Intuitive, Affordances Oriented Telemanipulation Framework for a Dual Robot Arm Hand System: On the Execution of Bimanual Tasks," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019.
J. Kneifl, D. Rosin, O. Avci, O. Röhrle, und 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.
L. Schmid, T. Klotz, O. Röhrle, R. Powers, F. Negro, und 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.
T. Klotz, L. Lehmann, F. Negro, und 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.
Z. Trivedi, J. Wychowaniec, D. Gehweiler, C. Sprecher, A. Boger, B. Gueorguiev, M. D'Este, T. Ricken, und O. Röhrle. Dataset, (2024)Related to: Trivedi, Z., Wychowaniec, J. K., Gehweiler, D., Sprecher, C. M., Boger, A., Gueorguiev, B., D’Este, M., Ricken, T., & Röhrle, O. (2023). Rheological Analysis and Evaluation of Measurement Techniques for the Curing Polymethylmethacrylate Bone Cement in Vertebroplasty. arXiv: arXiv:2312.11426.