Hill-type muscle model with serial damping and eccentric force–velocity relation DFB Haeufle, M Günther, A Bayer, S Schmitt Journal of biomechanics 47 (6), 1531-1536, 2014 | 206 | 2014 |
A clutched parallel elastic actuator concept: towards energy efficient powered legs in prosthetics and robotics DFB Haeufle, MD Taylor, S Schmitt, H Geyer Biomedical Robotics and Biomechatronics (BioRob), 2012 4th IEEE RAS & EMBS …, 2012 | 148 | 2012 |
The role of intrinsic muscle properties for stable hopping—stability is achieved by the force–velocity relation DFB Haeufle, S Grimmer, A Seyfarth Bioinspiration & biomimetics 5 (1), 016004, 2010 | 106 | 2010 |
Biomechanics of the human thumb and the evolution of dexterity FA Karakostis, D Haeufle, I Anastopoulou, K Moraitis, G Hotz, ... Current Biology 31 (6), 1317-1325. e8, 2021 | 70 | 2021 |
Integration of intrinsic muscle properties, feed-forward and feedback signals for generating and stabilizing hopping DFB Haeufle, S Grimmer, KT Kalveram, A Seyfarth Journal of The Royal Society Interface 9 (72), 1458-1469, 2012 | 62 | 2012 |
Quantifying control effort of biological and technical movements: an information-entropy-based approach DFB Haeufle, M Günther, G Wunner, S Schmitt Physical Review E 89 (1), 012716, 2014 | 51 | 2014 |
The influence of biophysical muscle properties on simulating fast human arm movements A Bayer, S Schmitt, M Günther, DFB Haeufle Computer methods in biomechanics and biomedical engineering 20 (8), 803-821, 2017 | 49 | 2017 |
Contraction dynamics and function of the muscle-tendon complex depend on the muscle fibre-tendon length ratio: a simulation study F Mörl, T Siebert, D Häufle Biomechanics and modeling in mechanobiology 15, 245-258, 2016 | 47 | 2016 |
Spreading out muscle mass within a hill‐type model: A computer simulation study M Günther, O Röhrle, DFB Haeufle, S Schmitt Computational and mathematical methods in medicine 2012 (1), 848630, 2012 | 46 | 2012 |
Preparing the leg for ground contact in running: the contribution of feed-forward and visual feedback R Müller, DFB Häufle, R Blickhan Journal of Experimental Biology 218 (3), 451-457, 2015 | 42 | 2015 |
Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models C Kleinbach, O Martynenko, J Promies, DFB Haeufle, J Fehr, S Schmitt Biomedical engineering online 16 (1), 109, 2017 | 40 | 2017 |
Predicting perturbed human arm movements in a neuro-musculoskeletal model to investigate the muscular force response K Stollenmaier, W Ilg, DFB Haeufle Frontiers in bioengineering and biotechnology 8, 308, 2020 | 38 | 2020 |
Energy management that generates terrain following versus apex-preserving hopping in man and machine KT Kalveram, DFB Haeufle, A Seyfarth, S Grimmer Biological cybernetics 106, 1-13, 2012 | 37 | 2012 |
Tailoring anatomical muscle paths: a sheath-like solution for muscle routing in musculoskeletal computer models M Hammer, M Günther, DFB Haeufle, S Schmitt Mathematical Biosciences 311, 68-81, 2019 | 33 | 2019 |
Nature as an engineer: one simple concept of a bio-inspired functional artificial muscle S Schmitt, DFB Haeufle, R Blickhan, M Günther Bioinspiration & Biomimetics 7 (3), 036022, 2012 | 28 | 2012 |
Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties D Driess, H Zimmermann, S Wolfen, D Suissa, D Haeufle, D Hennes, ... 2018 IEEE International Conference on robotics and automation (ICRA), 6461-6468, 2018 | 26 | 2018 |
External control strategies for self-propelled particles: Optimizing navigational efficiency in the presence of limited resources DFB Haeufle, T Bäuerle, J Steiner, L Bremicker, S Schmitt, C Bechinger Physical Review E 94 (1), 012617, 2016 | 26 | 2016 |
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 DFB Haeufle, B Schmortte, H Geyer, R Müller, S Schmitt Frontiers in computational neuroscience, 80, 2018 | 25 | 2018 |
Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping K Ghazi-Zahedi, DFB Haeufle, G Montúfar, S Schmitt, N Ay | 25* | |
Dep-rl: Embodied exploration for reinforcement learning in overactuated and musculoskeletal systems P Schumacher, D Häufle, D Büchler, S Schmitt, G Martius arXiv preprint arXiv:2206.00484, 2022 | 23 | 2022 |