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Comparative Sensitivity Analysis of Muscle Activation Dynamics., , , and . Comput. Math. Methods Medicine, (2015)Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties., , , , , , , and . ICRA, page 6461-6468. IEEE, (2018)Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements., , , , , , , , , and . BioRob, page 562-568. IEEE, (2024)Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy., , , , and . Frontiers Robotics AI, (2020)GazeMotion: Gaze-guided Human Motion Forecasting., , , and . CoRR, (2024)Bioinspired pneumatic muscle spring units mimicking the human motion apparatus: benefits for passive motion range and joint stiffness variation in antagonistic setups., , , , and . M2VIP, page 1-6. IEEE, (2018)Quantifying Human Upper Limb Stiffness Responses Based on a Computationally Efficient Neuromusculoskeletal Arm Model., , , , , , , , and . BioRob, page 514-519. IEEE, (2024)Über die Anwendung und Modifikation des Hill'schen Muskelmodells in der Biomechanik. Universität Tübingen, (May 2006)Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods., , , and . ENUMATH, volume 139 of Lecture Notes in Computational Science and Engineering, page 499-508. Springer, (2019)Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks., , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1178-1188. PMLR, (2022)