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Using muscle-tendon load limits to assess unphysiological musculoskeletal model deformation and Hill-type muscle parameter choice

, , , and . PloS one, 19 (11): e0302949 (2024)
DOI: 10.1371/journal.pone.0302949

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Using muscle-tendon load limits to assess unphysiological musculoskeletal model deformation and Hill-type muscle parameter choice, , , and . PloS one, 19 (11): e0302949 (2024)Comparison of Controller Strategies for Active Human Body Models with Different Muscle Materials, , , and . 2019 IRCOBI Conference Proceedings, page 133-135. (2019)Using muscle-tendon load limits to assess unphysiological musculoskeletal model deformation and Hill-type muscle parameter choice, , , and . PLOS ONE, 19 (11): e0302949 (2024)Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks, , , , , and . 6th Annual Conference on Robot Learning, (2022)Muscles reduce neuronal information load : quantification of control effort in biological vs. robotic pointing and walking, , , , , and . Frontiers in Robotics and AI, (2020)Muscles Reduce Neuronal Information Load : Quantification of Control Effort in Biological vs. Robotic Pointing and Walking, , , , , and . Frontiers In Robotics and AI, (2020)Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics, , , , , and . Frontiers in Computational Neuroscience, (2020)A robotic and virtual testing platform highlighting the promise of soft wearable actuators for wrist tremor suppression, , , , , , , , , and 5 other author(s). Device, (2025)Design and Scaling of Exoskeleton Power Units Considering Load Cycles of Humans, , , , and . Robotics, 11 (5): 107 (2022)MPC/OC Code for: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks, and . 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.