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Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties, , , , , , , and . 2018 IEEE International Conference on Robotics and Automation (ICRA), page 6461--6468. IEEE, (2018)Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties, , , , , , , and . 2018 IEEE International Conference on Robotics and Automation (ICRA), page 6461-6468. Piscataway, NJ, IEEE, (2018)Mechanics and thermodynamics of biological muscle--a simple model approach, and . Soft Robotics, Springer, (2015)Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks, , , , , and . 6th Annual Conference on Robot Learning, (2022)Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks, , , , , and . 6th Annual Conference on Robot Learning, (2023)HOIMotion: Forecasting Human Motion During Human-Object Interactions Using Egocentric 3D Object Bounding Boxes, , , , and . IEEE Transactions on Visualization and Computer Graphics (TVCG), (2024)spotlight.GazeMotion: Gaze-guided Human Motion Forecasting, , , and . Proceedings of the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, (2024)HaHeAE: Learning Generalisable Joint Representations of Human Hand and Head Movements in Extended Reality, , , , , and . IEEE Transactions on Visualization and Computer Graphics, (2025)Synthesising biological movement of muscle-driven systems: a geometry- and actuator-based control architecture, , , and . Biological Cybernetics, (2020)External control strategies for self-propelled particles: Optimizing navigational efficiency in the presence of limited resources, , , , , and . Physical Review E, 94 (1): 012617 (2016)