Daniel F. B. Haeufle
Orcid: 0000-0002-3480-6892
According to our database1,
Daniel F. B. Haeufle
authored at least 29 papers
between 2012 and 2024.
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Collaborative distances:
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Bibliography
2024
Generating Realistic Arm Movements in Reinforcement Learning: A Quantitative Comparison of Reward Terms and Task Requirements.
CoRR, 2024
Learning to Control Emulated Muscles in Real Robots: Towards Exploiting Bio-Inspired Actuator Morphology.
CoRR, 2024
2023
A Commentary on <i>Towards autonomous artificial agents with an active self: Modeling sense of control in situated action</i>.
Cogn. Syst. Res., June, 2023
CoRR, 2023
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models.
CoRR, 2023
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Virtual pivot point in human walking: always experimentally observed but simulations suggest it may not be necessary.
CoRR, 2022
Slack-based tunable damping leads to a trade-off between robustness and efficiency in legged locomotion.
CoRR, 2022
Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks.
Proceedings of the Conference on Robot Learning, 2022
2021
Correction to: A geometry- and muscle-based control architecture for synthesising biological movement.
Biol. Cybern., 2021
A geometry- and muscle-based control architecture for synthesising biological movement.
Biol. Cybern., 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
2020
Frontiers Robotics AI, 2020
Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking.
Frontiers Robotics AI, 2020
Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy.
Frontiers Robotics AI, 2020
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics.
Frontiers Comput. Neurosci., 2020
Simulating the response of a neuro-musculoskeletal model to assistive forces: implications for the design of wearables compensating for motor control deficits.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
2018
The Benefit of Combining Neuronal Feedback and Feed-Forward Control for Robustness in Step Down Perturbations of Simulated Human Walking Depends on the Muscle Function.
Frontiers Comput. Neurosci., 2018
Bioinspired pneumatic muscle spring units mimicking the human motion apparatus: benefits for passive motion range and joint stiffness variation in antagonistic setups.
Proceedings of the 25th International Conference on Mechatronics and Machine Vision in Practice, 2018
Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2016
Evaluating Morphological Computation in Muscle and DC-Motor Driven Models of Hopping Movements.
Frontiers Robotics AI, 2016
2015
Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping.
CoRR, 2015
Proceedings of the Thirteenth European Conference Artificial Life, 2015
2013
Comput. Math. Methods Medicine, 2013
2012
Comput. Math. Methods Medicine, 2012
Energy management that generates terrain following versus apex-preserving hopping in man and machine.
Biol. Cybern., 2012