- Günther, M., Rockenfeller, R., Weihmann, T., Haeufle, D. F. B., Götz, T., & Schmitt, S. (2021). Rules of nature’s Formula Run: Muscle mechanics during late stance is the key to explaining maximum running speed. Journal of Theoretical Biology, 523, 110714. doi.org/10.1016/j.jtbi.2021.110714
- Karakostis, F. A., Haeufle, D., Anastopoulou, I., Moraitis, K., Hotz, G., Tourloukis, V., & Harvati, K. (2021). Biomechanics of the human thumb and the evolution of dexterity. Current Biology, 31(6), 1317-1325.e8. doi.org/10.1016/j.cub.2020.12.041
- Walter, J. R., Günther, M., Haeufle, D. F. B., & Schmitt, S. (2021). A geometry- and muscle-based control architecture for synthesising biological movement. Biological Cybernetics, 115(1), 7–37. doi.org/10.1007/s00422-020-00856-4
- Haeufle, D., Stollenmaier, K., Heinrich, I., Schmitt, S., Ghazi-Zahedi, K. (2020). Morphological computation increases from lower- to higher-level of biological motor control hierarchy, Frontiers in Robotics and AI. doi.org/10.3389/frobt.2020.511265.
- Haeufle, D. F. B., Wochner, I., Holzmüller, D., Driess, D., Günther, M., & Schmitt, S. (2020). Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking. Frontiers in Robotics and AI, 7, Research topic: Recent Trends in Morphological Com. doi.org/10.3389/frobt.2020.00077
- Haeufle, D. F. B., Siegel, J., Hochstein, S., Schmitt, S., Siebert, T., Gusew, A., … Stutzig, N. (2020). Energy Expenditure of Dynamic Submaximal Human Plantarflexion Movements: Model Prediction and Validation by in-vivo Magnetic Resonance Spectroscopy. Frontiers in Bioengineering and Biotechnology, 8(June), 1–18. doi.org/10.3389/fbioe.2020.00622
- Stollenmaier, K., Ilg, W., & Haeufle, D. F. B. (2020). Predicting Perturbed Human Arm Movements in a Neuro-Musculoskeletal Model to Investigate the Muscular Force Response. Frontiers in Bioengineering and Biotechnology, 8(308). doi.org/10.3389/fbioe.2020.00308
- Glenday, J. D., Steinhilber, B., Jung, F., & Haeufle, D. F. B. (2020). Development of a subject-specific musculoskeletal model of the wrist to predict frictional work dissipated due to tendon gliding resistance in the carpal tunnel. Computer Methods in Biomechanics and Biomedical Engineering, 0(0), 1–14. doi.org/10.1080/10255842.2020.1862094
- Müller, R., Vielemeyer, J., & Haeufle, D. F. B. (2020). Negotiating ground level perturbations in walking: anticipatory and predictive control strategies modulate muscle activity based on visual perception and expectation of curb height. Journal of Biomechanics. accepted on October 22nd, 2020.
- Wochner, I., Driess, D., Zimmermann, H., Haeufle, D. F. B., Toussaint, M., & Schmitt, S. (2020). Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics. Frontiers in Computational Neuroscience, 14. doi.org/10.3389/fncom.2020.00038
- Rockenfeller, R., Günther, M., Stutzig, N., Haeufle, D. F. B., Siebert, T., Schmitt, S., … Götz, T. (2020). Exhaustion of Skeletal Muscle Fibers Within Seconds: Incorporating Phosphate Kinetics Into a Hill-Type Model. Frontiers in Physiology, 11. doi.org/10.3389/fphys.2020.00306
- Mo, A., Izzi, F., Haeufle, D. F. B., & Badri-Spröwitz, A. (2020). Effective Viscous Damping Enables Morphological Computation in Legged Locomotion. Frontiers in Robotics and AI, Soft Robotics. doi.org/10.3389/frobt.2020.00110
- Schmitt, S., Günther, M., & Häufle, D. F. B. (2019). The dynamics of the skeletal muscle: A systems biophysics perspective on muscle modeling with the focus on Hill‐type muscle models. GAMM-Mitteilungen, e201900013. doi.org/10.1002/gamm.201900013
- Hammer, M., Günther, M., Haeufle, D. F. B., & Schmitt, S. (2019). Tailoring anatomical muscle paths: a sheath-like solution for muscle routing in musculoskeletal computer models. Mathematical Biosciences, 311(March), 68–81. doi.org/10.1016/j.mbs.2019.02.004
- Haeufle, D. F. B., Schmortte, B., Geyer, H., Müller, R., & Schmitt, S. (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 in Computational Neuroscience, 12(80). doi.org/10.3389/fncom.2018.00080
- Günther, M., Haeufle, D. F. B., & Schmitt, S. (2018). The basic mechanical structure of the skeletal muscle machinery: One model for linking microscopic and macroscopic scales. Journal of Theoretical Biology, 456, 137–167. doi.org/10.1016/j.jtbi.2018.07.023
- Bayer, A., Schmitt, S., Günther, M., & Haeufle, D. F. B. (2017). The influence of biophysical muscle properties on simulating fast human arm movements. Computer Methods in Biomechanics and Biomedical Engineering 20(8):803-821. doi.org/10.1080/10255842.2017.1293663
- Brown, N., Bubeck, D., Haeufle, D., Alt, W., & Schmitt, S. (2017). Weekly time course of adaptation to intensive strength training – a case study. Frontiers in Physiology.
doi.org/10.3389/fphys.2017.00329 - Kleinbach, C., Martynenko, O., Promies, J., Haeufle, D. F. B., Fehr, J., & Schmitt, S. (2017). Implementation and validation of the extended Hill-type muscle model with robust routing capabilities in LS-DYNA for active human body models. BioMedical Engineering OnLine, 16(1), 109. doi.org/10.1186/s12938-017-0399-7
- Ghazi-Zahedi, K., Haeufle, D. F. B., Montúfar, G., Schmitt, S., Ay, N. (2016). Evaluating Morphological Computation in Muscle and DC-motor Driven Models of Human Hopping. Frontiers in Robotics and AI, 3(July). doi.org/10.3389/frobt.2016.00042
- Haeufle, D., Bäuerle, T., Steiner J., Bremicker, L., Schmitt, S., Bechinger, C. (2016). External control strategies for self-propelled particles: optimizing navigational efficiency in the presence of limited resources, Physical Review E, 94(1), 1–8. doi.org/10.1103/PhysRevE.94.012617
- Mörl, F., Siebert, T., & Häufle, D. (2015). Contraction dynamics and function of the muscle-tendon complex depend on the muscle fibre-tendon length ratio: a simulation study. Biomechanics and Modeling in Mechanobiology, 15(1), 245–258. doi.org/10.1007/s10237-015-0688-7
- Müller, R., Haeufle, D. F. B., & Blickhan, R. (2015). Preparing the leg for ground contact in running: the contribution of feed-forward and visual feedback. Journal of Experimental Biology, 218, 451–457. doi.org/10.1242/jeb.113688
- Haeufle, D.F.B., M Günther, A Bayer, and S Schmitt (2014). Hill-Type Muscle Model with Serial Damping and Eccentric Force-Velocity Relation. Journal of Biomechanics 47 (6), 1531–1536. doi.org/10.1016/j.jbiomech.2014.02.009
- Haeufle, D.F.B., Michael Günther, Günther Wunner, and Syn Schmitt (2014): Quantifying Control Effort of Biological and Technical Movements: An Information-Entropy-Based Approach. Physical Review E 89 (1), 012716. doi.org/10.1103/PhysRevE.89.012716
- Schmitt, S., Günther, M., Bayer, A., Rupp, T., Häufle, D.F.B. (2013). Theoretical Hill-Type Muscle and Stability: Numerical Model and Application. Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 570878. doi.org/10.1155/2013/570878
- Seyfarth, A., Grimmer, S., Haeufle, D.F.B., and Kalveram, K-T. (2012). Can Robots Help to Understand Human Locomotion? AT - Automatisierungstechnik 60(11), 653–661.
doi.org/10.1524/auto.2012.1040 - Haeufle, D.F.B., Worobets, J., Wright, I., Haeufle, J., Stefanyshyn, D. (2012). Golfers do not respond to changes in shaft mass properties in a mechanically predictable way. Sports Engineering 15(4), 215-220. doi.org/10.1007/s12283-012-0104-9
- Günther, M., Röhrle, O., Häufle, D.F.B., Schmitt, S. (2012). Spreading out muscle mass within a Hill-type model: a computer simulation study. Computational and Mathematical Methods in Medicine, 2012, 848630. doi.org/10.1155/2012/848630
- Schmitt, S., Häufle, D.F.B., Blickhan, R., Günther, M. (2012). Nature as an engineer: one simple concept of a bio-inspired functional artificial muscle. Bioinspiration & Biomimetics, 7 (2012) 036022. doi.org/10.1088/1748-3182/7/3/036022
- Haeufle, D.F.B., Günther, M., Blickhan, R., Schmitt, S. (2012). Can Quick Release Experiments Reveal the Muscle Structure? A Bionic Approach. Journal of Bionic Engineering, 9(2), 211-223. doi.org/10.1016/S1672-6529(11)60115-7
- Haeufle, D.F.B., Günther, M., Blickhan, R., Schmitt, S. (2012). Proof-of-concept: model based bionic muscle with hyperbolic force-velocity relation. Applied Bionics and Biomechanics, 9(3). doi.org/10.3233/ABB-2011-0052
- Haeufle, D.F.B., Grimmer, S., Kalveram, K.T., Seyfarth, A. (2012). Integration of intrinsic muscle properties, feed-forward and feedback signals for generating and stabilizing hopping. Journal of the Royal Society, Interface 9(72), 1458-69. doi.org/10.1098/rsif.2011.0694
- Kalveram, K.T., Haeufle, D.F.B., Seyfarth, A., Grimmer, S. (2012). Energy management that generates terrain following versus apex-preserving hopping in man and machine. Biological Cybernetics, 106(1), 1-13. doi.org/10.1007/s00422-012-0476-8
- Haeufle, D.F.B., Grimmer, S., & Seyfarth, A. (2010). The role of intrinsic muscle properties for stable hopping - stability is achieved by the force - velocity relation. Bioinspiration & Biomimetics, 5(1), 016004 (11pp). doi.org/10.1088/1748-3182/5/1/016004