This image shows Syn Schmitt

Syn Schmitt

Prof. Dr.

Director
Institute for Modelling and Simulation of Biomechanical Systems
Professor for Computational Biophysics and Biorobotics

Contact

+49 711 685 60484
+4971168550484

Nobelstraße 15
70569 Stuttgart
Deutschland
Room: 00.064

Office Hours

  • Monday: 10:00 a.m. - 11:00 a.m. and whenever the door is open
  • During semester break only with appointment

Publications:
  1. 2023

    1. Meszaros-Beller L, Hammer M, Riede JM, Pivonka P, Little JP, Schmitt S. Effects of geometric individualisation of a human spine model on load sharing: neuro-musculoskeletal simulation reveals significant differences in ligament and muscle contribution. Biomechanics and Modeling in Mechanobiology [Internet]. 2023; Available from: https://doi.org/10.1007/s10237-022-01673-3
  2. 2022

    1. Schmitt S. demoa-base: a biophysics simulator for muscle-driven motion. 2022; Available from: https://doi.org/10.18419/darus-2550
    2. Wochner I, Schumacher P, Martius G, Büchler D, Schmitt S, Haeufle D. Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. In: 6th Annual Conference on Robot Learning [Internet]. 2022. (6th Annual Conference on Robot Learning). Available from: https://openreview.net/forum?id=Xo3eOibXCQ8
    3. Nölle LV, Mishra A, Martynenko OV, Schmitt S. Evaluation of muscle strain injury severity in active human body models. Journal of the Mechanical Behavior of Biomedical Materials [Internet]. 2022;105463. Available from: https://doi.org/10.1016/j.jmbbm.2022.105463
    4. Walter JR, Wochner I, Jacob M, Stollenmaier K, Lerge P, Schmitt S. allmin: A Reduced Human All-Body Model. 2022; Available from: https://doi.org/10.18419/darus-2982
    5. Wochner I, Schmitt S. arm26: A Human Arm Model. 2022; Available from: https://doi.org/10.18419/darus-2871
    6. Waldhof M, Wochner I, Stollenmaier K, Parspour N, Schmitt S. Design and Scaling of Exoskeleton Power Units Considering Load Cycles of Humans. Robotics [Internet]. 2022;11(5):107. Available from: https://doi.org/10.3390/robotics11050107
    7. Wochner I, Nölle LV, Martynenko OV, Schmitt S. ‘Falling heads’: investigating reflexive responses to head--neck perturbations. BioMedical Engineering OnLine [Internet]. 2022;21(1):1--23. Available from: https://link.springer.com/article/10.1186/s12938-022-00994-9
    8. Hammer M, Riede JM, Meszaros-Beller L, Schmitt S. gspine: A Human Spine Model Built Using Literature Data. 2022; Available from: https://doi.org/10.18419/darus-2814
    9. Schumacher P, Häufle D, Büchler D, Schmitt S, Martius G. DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems [Internet]. arXiv; 2022. Available from: https://arxiv.org/abs/2206.00484
  3. 2021

    1. Christensen KB, Günther M, Schmitt S, Siebert T. Cross-bridge mechanics estimated from skeletal muscles’ work-loop responses to impacts in legged locomotion. Scientific Reports [Internet]. 2021;11:23638 (12pp). Available from: https://doi.org/10.1038/s41598-021-02819-6
    2. Riede JM, Holm C, Schmitt S, Haeufle DFB. The control effort to steer self-propelled microswimmers depends on their morphology: comparing symmetric spherical versus asymmetric L-shaped particles. Royal Society Open Science [Internet]. 2021;8(9):201839. Available from: https://royalsocietypublishing.org/doi/abs/10.1098/rsos.201839
    3. Ghazi-Zahedi K, Rieffel J, Schmitt S, Hauser H. Editorial: Recent Trends in Morphological Computation. Frontiers in Robotics and AI [Internet]. 2021;8:159. Available from: https://doi.org/10.3389/frobt.2021.708206
    4. Gizzi L, Yavuz US, Hillerkuss D, Geri T, Gneiting E, Domeier F, et al. Variations in Muscle Activity and Exerted Torque During  Temporary Blood Flow Restriction in Healthy Individuals. Frontiers in Bioengineering and Biotechnology [Internet]. 2021;9:100. Available from: https://doi.org/10.3389/fbioe.2021.557761
    5. Günther M, Rockenfeller R, Weihmann T, Haeufle DFB, Götz T, Schmitt S. Rules of nature’s Formula Run: Muscle mechanics during late stance is the key to explaining maximum running speed. Journal of Theoretical Biology [Internet]. 2021;523:110714. Available from: https://doi.org/10.1016/j.jtbi.2021.110714
    6. Walter J, Günther M, Haeufle DFB, Schmitt S. A geometry- and muscle-based control architecture for synthesising biological movement. Biological Cybernetics [Internet]. 2021;115(1):7–37. Available from: https://doi.org/10.1007/s00422-020-00856-4
    7. Haasdonk B, Wenzel T, Santin G, Schmitt S. Biomechanical Surrogate Modelling Using Stabilized Vectorial Greedy Kernel Methods. In: Vermolen FJ, Vuik C, editors. Numerical Mathematics and Advanced Applications ENUMATH 2019 [Internet]. Cham: Springer International Publishing; 2021. p. 499--508. (Vermolen FJ, Vuik C, editors. Numerical Mathematics and Advanced Applications ENUMATH 2019). Available from: https://doi.org/10.1007/978-3-030-55874-1_49
  4. 2020

    1. Haeufle DFB, Stollenmaier K, Heinrich I, Schmitt S, Ghazi-Zahedi K. Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy. Frontiers in Robotics and AI [Internet]. 2020;7. Available from: https://www.frontiersin.org/articles/10.3389/frobt.2020.511265/full
    2. Rockenfeller R, Günther M, Stutzig N, Haeufle DFB, Siebert T, Schmitt S, et al. Exhaustion of skeletal muscle fibers within seconds: incorporating phosphate kinetics into a Hill-type model. Frontiers in Physiology [Internet]. 2020;11:306 (25pp). Available from: https://doi.org/10.3389/fphys.2020.00306
    3. Günther M, Haeufle DFB, Schmitt S. Corrigendum to “The basic mechanical structure of the skeletal muscle machinery: One model for linking microscopic and macroscopic scales” Journal of Theoretical Biology 456 (2018) 137–167. Journal of Theoretical Biology [Internet]. 2020 Mar;488:110143. Available from: https://doi.org/10.1016%2Fj.jtbi.2019.110143
    4. Haeufle DFB, Siegel J, Hochstein S, Gussew A, Schmitt S, Siebert T, et al. Energy Expenditure of Dynamic Submaximal Human Plantarflexion Movements: Model Prediction and Validation by in-vivo Magnetic Resonance Spectroscopy. Frontiers in Bioengineering and Biotechnology [Internet]. 2020 Jun;8. Available from: https://doi.org/10.3389%2Ffbioe.2020.00622
    5. Brändle S, Schmitt S, Müller MA. A systems-theoretic analysis of low-level human motor control: application to a single-joint arm model. J Math Biol [Internet]. 2020;80(4):1139--1158. Available from: https://doi.org/10.1007/s00285-019-01455-z
    6. Wochner I, Driess D, Zimmermann H, Haeufle DF, Toussaint M, Schmitt S. Optimality principles in human point-to-manifold reaching accounting for muscle dynamics. Frontiers in Computational Neuroscience [Internet]. 2020;14:38. Available from: https://www.frontiersin.org/articles/10.3389/fncom.2020.00038/full
    7. Mörl F, Günther M, Riede JM, Hammer M, Schmitt S. Loads distributed in vivo among vertebrae, muscles, spinal ligaments, and intervertebral discs in a passively flexed lumbar spine. Biomechanics and Modeling in Mechanobiology [Internet]. 2020 Dec 1;19(6):2015–47. Available from: https://doi.org/10.1007/s10237-020-01322-7
    8. Haeufle DFB, Wochner I, Holzmüller D, Driess D, Günther M, Schmitt S. Muscles reduce neuronal information load: quantification of control effort in biological vs robotic pointing and walking. Frontiers in Robotics and AI -- Soft Robotics [Internet]. 2020;7:77 (13pp). Available from: https://www.frontiersin.org/articles/10.3389/frobt.2020.00077/full
  5. 2019

    1. Schmitt S, Günther M, Haeufle DFB. The dynamics of the skeletal muscle: a systems biophysics perspective on muscle modeling with the                  focus on Hill-type muscle models. GAMM--Mitteilungen [Internet]. 2019;58:e201900013. Available from: https://doi.org/10.1002/gamm.201900013
    2. Driess D, Schmitt S, Toussaint M. Active Inverse Model Learning with Error and Reachable Set Estimates. In: Proc of the IEEE Int Conf on Intelligent Robotsand Systems (IROS) [Internet]. 2019. (Proc. of the IEEE Int. Conf. on Intelligent Robotsand Systems (IROS)). Available from: https://doi.org/10.1109/IROS40897.2019.8967858
    3. Hammer M, Günther M, Haeufle DFB, Schmitt S. Tailoring anatomical muscle paths: a sheath-like solution for muscle routing in musculo-skeletal computer models. Mathematical Biosciences [Internet]. 2019;311:68–81. Available from: https://doi.org/10.1016/j.mbs.2019.02.004
  6. 2018

    1. Haeufle DF, Schmortte B, Geyer H, Müller R, Schmitt S. 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 [Internet]. 2018;12:80. Available from: https://www.frontiersin.org/articles/10.3389/fncom.2018.00080/full
    2. Wolfen S, Walter J, Günther M, Haeufle DFB, Schmitt S. Bioinspired pneumatic muscle spring units mimicking the human motion apparatus: benefits for passive motion range and joint stiffness variation in antagonistic setups. In: 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) [Internet]. Stuttgart; 2018. p. (6pp). (25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)). Available from: https://doi.org/10.1109/M2VIP.2018.8600913
    3. Suissa D, Günther M, Shapiro A, Melzer I, Schmitt S. On laterally perturbed human stance: experiment, model, and control. Applied Bionics and Biomechanics [Internet]. 2018;4767624 (20pp). Available from: https://doi.org/10.1155/2018/4767624
    4. Günther M, Haeufle DFB, Schmitt S. The basic mechanical structure of the skeletal muscle machinery: One model for linking microscopic and macroscopic scales. Journal of Theoretical Biology [Internet]. 2018;456:137–67. Available from: https://doi.org/10.1016/j.jtbi.2018.07.023
    5. Driess D, Zimmermann H, Wolfen S, Suissa D, Haeufle D, Hennes D, et al. Learning to Control Redundant Musculoskeletal Systems with Neural Networks and SQP: Exploiting Muscle Properties. In: Proc of the International Conference on Robotics and Automation [Internet]. 2018. (Proc. of the International Conference on Robotics and Automation). Available from: https://doi.org/10.1109/ICRA.2018.8463160
  7. 2017

    1. Lindemann U, Schwenk M, Schmitt S, Weyrich M, Schlicht W, Becker C. Effect of uphill and downhill walking on walking performance in geriatric patients using a wheeled walker. Zeitschrift für Gerontologie und Geriatrie [Internet]. 2017;50(6):483--487. Available from: https://doi.org/10.1007/s00391-016-1156-4
    2. Röhrle O, Sprenger M, Schmitt S. A two-muscle, continuum-mechanical forward simulation of the upper limb. Biomechanics and Modeling in Mechanobiology [Internet]. 2017 Jun 1;16(3):743--762. Available from: https://doi.org/10.1007/s10237-016-0850-x
    3. Kleinbach C, Martynenko O, Promies J, Haeufle DF, Fehr J, Schmitt S. 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 [Internet]. 2017;16(1):109. Available from: http://doi.org/10.1186/s12938-017-0399-7
    4. Martynenko O, Kleinbach C, Hammer M, Haeufle DFB, Mayer C, Schmitt S. Advanced Hill-type Muscle model as User Defined Material in LS-DYNA with Routing Capability for Application in Active Human Body Models. In: Proceedings of the International IRCOBI Conference [Internet]. Antwerp, Belgium: IRCOBI Council; 2017. p. 679--680. (Proceedings of the International IRCOBI Conference). Available from: http://www.ircobi.org/wordpress/downloads/irc17/pdf-files/91.pdf
    5. Rockenfeller R, Günther M, Schmitt S, Götz T. Corrigendum to ``Comparative Sensitivity Analysis of Muscle Activation Dynamics’’. Computational and Mathematical Methods in Medicine [Internet]. 2017;2017:2. Available from: https://doi.org/10.1155/2017/6752731
    6. Brown N, Bubeck D, Haeufle DFB, Weickenmeier J, Kuhl E, Alt W, et al. Weekly Time Course of Neuro-Muscular Adaptation to Intensive Strength Training. Frontiers in Physiology [Internet]. 2017;8:329. Available from: http://journal.frontiersin.org/article/10.3389/fphys.2017.00329
    7. Bayer A, Schmitt S, Günther M, Haeufle DFB. The influence of biophysical muscle properties on simulating fast human arm movements. Computer Methods in Biomechanics and Biomedical Engineering [Internet]. 2017;20(8):803–21. Available from: https://doi.org/10.1080/10255842.2017.1293663
    8. Christensen KB, Günther M, Schmitt S, Siebert T. Strain in shock-loaded skeletal muscle and the time scale of muscular wobbling mass dynamics. Scientific Reports [Internet]. 2017;7:13266 (11pp). Available from: https://doi.org/10.1038/s41598-017-13630-7
  8. 2016

    1. Hochstein S, Rauschenberger P, Weigand B, Siebert T, Schmitt S, Schlicht W, et al. Assessment of physical activity of the human body considering the thermodynamic system. Computer Methods in Biomechanics and Biomedical Engineering [Internet]. 2016;19(9):923–33. Available from: https://doi.org/10.1080/10255842.2015.1076804
    2. Haeufle DF, Bäuerle T, Steiner J, Bremicker L, Schmitt S, Bechinger C. External control strategies for self-propelled particles: Optimizing navigational efficiency in the presence of limited resources. Physical Review E [Internet]. 2016;94(1):012617. Available from: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.94.012617
    3. Ghazi-Zahedi K, Haeufle DF, Montúfar G, Schmitt S, Ay N. Evaluating morphological computation in muscle and dc-motor driven models of hopping movements. Frontiers in Robotics and AI [Internet]. 2016;3:42. Available from: https://www.frontiersin.org/articles/10.3389/frobt.2016.00042/full
  9. 2015

    1. Schmitt S, Haeufle D. Mechanics and thermodynamics of biological muscle--a simple model approach. In: Soft Robotics [Internet]. Springer; 2015. p. 134--144. (Soft Robotics). Available from: https://link.springer.com/chapter/10.1007/978-3-662-44506-8_12
    2. Rockenfeller R, Günther M, Schmitt S, Götz T. Comparative sensitivity analysis of muscle activation dynamics. Computational and Mathematical Methods in Medicine [Internet]. 2015;585409 (16pp). Available from: https://doi.org/10.1155/2015/585409
    3. Schmitt S, Lechler A, Röhrle O. Modellierung und Simulation als Werkzeug für das Design von Mensch-Maschine-Systemen. In Berlin: Springer Vieweg; 2015. p. 178–84.
    4. Rupp TK, Ehlers W, Karajan N, Günther M, Schmitt S. A forward dynamics simulation of human lumbar spine flexion predicting the load sharing of intervertebral discs, ligaments, and muscles. Biomechanics and Modeling in Mechanobiology [Internet]. 2015;14(5):1081–105. Available from: https://doi.org/10.1007/s10237-015-0656-2
  10. 2014

    1. Haeufle DFB, Günther M, Bayer A, Schmitt S. Hill-type muscle model with serial damping and eccentric force-velocity relation. Journal of Biomechanics [Internet]. 2014;47(6):1531–6. Available from: https://doi.org/10.1016/j.jbiomech.2014.02.009
    2. Haeufle DFB, Günther M, Wunner G, Schmitt S. Quantifying control effort of biological and technical movements: An information-entropy-based approach. Physical Review E [Internet]. 2014;89:012716. Available from: https://doi.org/10.1103/PhysRevE.89.012716
    3. David S, Schmitt S, Utz J, Hub A, Schlicht W. Navigation within buildings: Novel movement detection algorithms supporting people with visual impairments. Research in Developmental Disabilities [Internet]. 2014;35(9):2026–34. Available from: http://www.sciencedirect.com/science/article/pii/S0891422214002005
  11. 2013

    1. Karajan N, Röhrle O, Ehlers W, Schmitt S. Linking continuous and discrete intervertebral disc models through homogenisation. Biomechanics and modeling in mechanobiology. 2013;12(3):453--466.
    2. Schmitt S, Günther M, Rupp TK, Bayer A, Haeufle DFB. Theoretical Hill-type muscle and stability: numerical model and application. Computational and Mathematical Methods in Medicine [Internet]. 2013;570878 (7pp). Available from: https://doi.org/10.1155/2013/570878
  12. 2012

    1. Haeufle DFB, Taylor MD, Schmitt S, Geyer H. A clutched parallel elastic actuator concept: Towards energy efficient powered legs in prosthetics and robotics. In: 2012 4th IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) [Internet]. 2012. p. 1614–9. (2012 4th IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)). Available from: https://doi.org/10.1109/BioRob.2012.6290722
    2. Schmitt S, Haeufle DFB, Blickhan R, Günther M. Nature as an engineer: one simple concept of bio-inspired functional artificial muscle. Bioinspiration & Biomimetics [Internet]. 2012;7(3):036022 (9pp). Available from: https://doi.org/10.1088/1748-3182/7/3/036022
    3. Günther M, Haeufle DFB, Röhrle O, Schmitt S. Spreading out muscle mass within a Hill-type model: A computer simulation study. Computational and Mathematical Methods in Medicine [Internet]. 2012;848630 (13pp). Available from: https://doi.org/10.1155/2012/848630
    4. Haeufle DFB, Günther M, Blickhan R, Schmitt S. Proof of concept: model based bionic muscle with hyperbolic force-velocity relation. Applied Bionics and Biomechanics [Internet]. 2012;9(3):267–74. Available from: https://doi.org/10.3233/ABB-2011-0052
    5. Haeufle DFB, Günther M, Blickhan R, Schmitt S. Can quick release experiments reveal the muscle structure? A bionic approach. Journal of Bionic Engineering [Internet]. 2012;9(2):211–23. Available from: https://doi.org/10.1016/S1672-6529(11)60115-7
    6. Mörl F, Siebert T, Schmitt S, Blickhan R, Günther M. Electro-mechanical delay in Hill-type muscle models. Journal of Mechanics in Medicine and Biology [Internet]. 2012;12(5):85–102. Available from: https://doi.org/10.1142/S0219519412500856
  13. 2011

    1. Rupp T, Schmitt S. Inverse dynamics of the lower extremities: novel approach considering upper and lower ankle joint axis. Journal of Mechanics in Medicine and Biology. 2011;13 pages.
    2. Schmitt S, Günther M. Human leg impact: energy dissipation of wobbling masses. Archive of Applied Mechanics [Internet]. 2011;81(7):887–97. Available from: https://doi.org/10.1007/s00419-010-0458-z
    3. Haeufle DFB, Günther M, Blickhan R, Schmitt S. Proof of concept of an artificial muscle: theoretical model, numerical model and hardware experiment [Internet]. 2011. p. 1–6. Available from: https://doi.org/10.1109/ICORR.2011.5975336
  14. 2010

    1. Blickhan R, Günther M, Schmitt S. Vorrichtung zur Nachbildung des Bewegungsverhaltens eines natürlichen Muskels. Europäisches Patentamt; 2010. Report No.: PCT/DE 2010/000160.
    2. Häufle DFB, Günther M, Blickhan R, Schmitt S. Proof of concept: model based bionic muscle with hyperbolic force-velocity relation. In: Proceedings of the first International Conference of Applied Biomechanics and Bionics. 2010. p. 7 pages. (Proceedings of the first International Conference of Applied Biomechanics and Bionics).
    3. Günther M, Schmitt S. A macroscopic ansatz to deduce the Hill relation. Journal of Theoretical Biology [Internet]. 2010;263(4):407–18. Available from: https://doi.org/10.1016/j.jtbi.2009.12.027
  15. 2009

    1. Melnyk M, Schloz C, Schmitt S, Gollhofer A. Neuromuscular ankle joint stabilisation after 4-weeks WBV training. International Journal of Sports Medicine [Internet]. 2009;30(6):461--466. Available from: http://dx.doi.org/10.1055/s-0028-1112141
    2. Schmitt S, Melnyk M, Alt W, Gollhofer A. Novel approach for a precise determination of short-time intervals in ankle sprain experiments. Journal of Biomechanics [Internet]. 2009;42:2823–5. Available from: http://dx.doi.org/10.1016/j.jbiomech.2009.08.015
  16. 2008

    1. Blickhan R, Günther M, Schmitt S. Vorrichtung zur Nachbildung des Bewegungsverhaltens eines natürlichen Muskels. Deutsches Patent- und Markenamt; 2008. Report No.: DE 10 2008 058 604.8.
  17. 2007

    1. Wangerin M, Schmitt S, Stapelfeldt B, Gollhofer A. Inverse Dynamics in Cycling Performance. In: Buzug T, editor. Advances in Medical Engineering [Internet]. Springer; 2007. p. 329--334. (Buzug T, editor. Advances in Medical Engineering). Available from: https://link.springer.com/chapter/10.1007/978-3-540-68764-1_55
    2. Schmitt S, Kettler A, Mutschler H, Schmidt H, Ruder H, Wilke H-J. Simulation von Störungen auf die Lumbalwirbelsäule - eine Projektskizze. In: VDI Berichte Nr. 2002, editor. Humanschwingungen. Düsseldorf, VDI; 2007. p. 277–91. (VDI Berichte Nr. 2002, editor. Humanschwingungen).
  18. 2006

    1. Schmitt S. Über die Anwendung und Modifikation des Hill’schen Muskelmodells in der Biomechanik [Internet]. [Tübingen]: Eberhard-Karls-Universität; 2006. Available from: https://publikationen.uni-tuebingen.de/xmlui/handle/10900/49000

My full CV can be downloaded from the following link: Full CV (English)

Since 06/19 Adjunct Professor of the School of Chemistry Physics and Mechanical Engineering at Queensland University of Technology Brisbane, Australia
Since 04/19 Founding Director (jointly with Prof. O. Röhrle) of the Institute for Modelling and Simulation of Biomechanical Systems, Faculty 2: Civil and Environmental Engineering, University of Stuttgart, Germany.
Since 09/18 Faculty Member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS), Stuttgart and Tübingen
Since 09/18 W3-Professor for Computational Biophysics and Biorobotics in Faculty 2: Civil and Environmental Engineering and Stuttgart Center for Simulation Science (SimTech) at the University of Stuttgart, Germany.
Since 02/16 Fellow of the Stuttgart Center for Simulation Science (SC SimTech), Stuttgart, Germany.
09/12-09/18 Assistant Professor (Juniorprofessor) for "Modelling and Simulation in Human Movement" at the Institute of Sports and Movement Sciences (inspo) of the University of Stuttgart, Germany.
07/07-09/12 Research Scientist at the Institute of Sports and Movement Science (inspo) of the University of Stuttgart, Germany
12/06
PhD in Theoretical Physics (Biophysics), University of Tübingen, Germany
(Prof. H. Ruder)
01/04-06/07
Doctoral research scientist in the Biomechanics Group at the Department of Theoretical Astrophysics of University of Tübingen, Department of Sports and Rehabilitation Medicine of the University Clinic Freiburg and Institute for Sports and Sports Science of the University of Freiburg, Germany.
 
12/03
State examination (1. Staatsexamen) in Physics and Sports Education at the University of Stuttgart
07/03
Master of Science in Physics (Diplomphysiker) at the University of Stuttgart

Talk on Morpholgical Intelligence at MPI Intelligent Systems Summer Colloquium 2020

SimTech und die Simulation des menschlichen Körpers (YouTube Video)

SimTech and the Simulation of the Human Body (YouTube Video)

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