Integration of intrinsic muscle properties, feed-forward and feedback signals for generating and stabilizing hopping

Journal of the Royal Society Interface

Volumn 9, Issue 72, 2012, Pages 1458-1469

  Haeufle, D F B ^a   Grimmer, S ^b   Kalveram, K T ^c   Seyfarth, A ^b,d  

^a UNIVERSITY OF STUTTGART   (Germany)

^b FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

^c HEINRICH HEINE UNIVERSITY   (Germany)

^d DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Exploitive actuation; Force length velocity; Locomotion; Muscle; Return map; Stability

Indexed keywords

BIPED LOCOMOTION; CONVERGENCE OF NUMERICAL METHODS; STABILITY;

CONTRACTILE ELEMENTS; ELASTIC ELEMENT; EXPLOITIVE ACTUATION; FEED-FORWARD; FEEDBACK SIGNAL; FORCE-LENGTH-VELOCITY; HOPPING MODELS; HOPPING PATTERNS; KEY FEATURE; LEVEL OF DETAIL; LINEAR APPROXIMATIONS; MUSCLE ACTIVATION; MUSCLE PROPERTIES; RETURN MAP; SIMULATION STUDIES; STABILIZING PROPERTIES;

MUSCLE;

ARTICLE; FEEDBACK SYSTEM; HOPPING STABILITY; LOCOMOTION; MUSCLE; MUSCLE CONTRACTILITY; MUSCLE FORCE; MUSCLE LENGTH; POSITIVE FEEDBACK; PROPRIOCEPTIVE FEEDBACK; SIMULATION; VELOCITY;

EID: 84863583170     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2011.0694     Document Type: Article

References (50)

1. Kawato, M. 1999 Internal models for motor control and trajectory planning. Curr. Opin. Neurobiol. 9, 718-727. (doi:10.1016/S0959-4388(99)00028-8)
2. Degallier, S. & Ijspeert, A. J. 2010 Modeling discrete and rhythmic movements through motor primitives: a review. Biol. Cybernet. 103, 319-338. (doi:10.1007/s00422-010-0403-9)
3. Hogan, N. & Sternad, D. 2007 On rhythmic and discrete movements: reflections, definitions and implications for motor control. Exp. Brain Res. 181, 13-30. (doi:10.1007/s00221-007-0899-y)
4. Prochazka, A., Gritsenko, V. & Yakovenko, S. 2002 Sensory control of locomotion: reflexes versus higher-level control. Adv. Exp. Med. Biol. 508, 357-367. (doi:10.1007/978-1-4615-0713-0-41)
5. Ijspeert, A. J. 2008 Central pattern generators for locomotion control in animals and robots: a review. Neural Netw. Official J. Int. Neural Netw. Soc. 21, 642-653. (doi:10.1016/j.neunet.2008.03.014)
6. Dickinson,M.H. 2000Howanimalsmove: an integrative view. Science 288, 100-106. (doi:10.1126/science.288.5463.100)
7. Loeb, G. E. 1989 Neural control of locomotion. BioScience 39, 800. (doi:10.2307/1311186)
8. Rybak, I., Ivashko, D., Prilutsky, B., Lewis, M. & Chapin, J. 2002 Modeling neural control of locomotion: integration of reflex circuits with CPG. In Artificial neural networks-Icann, pp. 99-104. Madrid, Spain: Springer.
9. Duysens, J. 1998 Neural control of locomotion. I. The central pattern generator from cats to humans. Gait Posture 7, 131-141. (doi:10.1016/S0966- 6362(97)00042-8)
10. MacKay-Lyons, M. 2002 Central pattern generation of locomotion: a review of the evidence. Phys. Therapy 82, 69-83. See http://www.ncbi.nlm.nih.gov/ pubmed/11784280.
11. Zehr,E.P. 2005 Neural control of rhythmic humanmovement: the commoncore hypothesis. Exerc.SportSci.Rev.33, 54-60. See http://www.ncbi.nlm.nih.gov/ pubmed/15640722.
12. Righetti, L. & Ijspeert, A. J. 2006 Programmable central pattern generators: an application to biped locomotion control. In IEEE Int. Conf. on Robotics and Automation, 15-19 May 2006, Orlando, FL, pp. 1585-1590. New York, NY: IEEE.
13. Ivanenko, Y. P., Poppele, R. E. & Lacquaniti, F. 2006 Motor control programs and walking. Neuroscientist 12, 339-348. (doi:10.1177/1073858406287987)
14. Prochazka, A. & Yakovenko, S. 2007 Predictive and reactive tuning of the locomotor CPG. Integr. Comp. Biol. 47, 474-481. (doi:10.1093/icb/icm065)
15. Aoi, S., Ogihara, N., Funato, T., Sugimoto, Y. & Tsuchiya, K. 2010 Evaluating functional roles of phase resetting in generation of adaptive human bipedal walking with a physiologically based model of the spinal pattern generator. Biol. Cybernet. 102, 373-387. (doi:10.1007/s00422-010-0373-y)
16. Proctor, J. & Holmes, P. 2010 Reflexes and preflexes: on the role of sensory feedback on rhythmic patterns in insect locomotion. Biol. Cybernet. 102, 513-531. (doi:10.1007/s00422-010-0383-9)
17. Stein, R. B. 1974 Peripheral control of movement. Physiol. Rev. 54, 215-243.
18. Geyer, H., Seyfarth, A. & Blickhan, R. 2003 Positive force feedback in bouncing gaits? Proc. R. Soc. Lond. B 270, 2173-2183. (doi:10.1098/rspb.2003. 2454)
19. van Soest, A. J. & Bobbert, M. F. 1993 The contribution of muscle properties in the control of explosive movements. Biol. Cybernet. 69, 195-204. (doi:10.1007/BF00198959)
20. van Soest, A. J., Bobbert, M. F. & Van Ingen Schenau, G. J. 1994 A control strategy for the execution of explosive movements from varying starting positions. J. Neurophysiol. 71, 1390-1402. (Pubitemid 24121838)
21. van der Krogt, M. M., de Graaf, W. W., Farley, C. T., Moritz, C. T., Casius, L. J. R. & Bobbert, M. F. 2009 Robust passive dynamics of the musculoskeletal system compensate for unexpected surface changes during human hopping. J. Appl. Physiol. 107, 801-808. (doi:10.1152/japplphysiol.91189.2008)
22. 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. Bioinspir. Biomim. 5, 016004. (doi:10.1088/1748-3182/5/ 1/016004)
23. Delcomyn, F. 1980 Neural basis of rhythmic behavior in animals. Science 210, 492-498. (doi:10.1126/science.7423199)
24. Paul, C., Bellotti, M., Jezernik, S. & Curt, A. 2005 Development of a human neuro-musculo-skeletal model for investigation of spinal cord injury. Biol. Cybernet. 93, 153-170. (doi:10.1007/s00422-005-0559-x)
25. Kuo, A. D. 2002 The relative roles of feedforward and feedback in the control of rhythmic movements. Motor Control 6, 129-145. See http://www.ncbi.nlm.nih.gov/pubmed/12122223.
26. Biewener, A. & Daley, M. 2007 Unsteady locomotion: integrating muscle function with whole body dynamics and neuromuscular control. J. Exp. Biol. 210, 2949-2960. (doi:10.1242/jeb.005801)
27. Pearson, K. G., Ekeberg, O. & Büschges, A. 2006 Assessing sensory function in locomotor systems using neuro-mechanical simulations. Trends Neurosci. 29, 625-631. (doi:10.1016/j.tins.2006.08.007)
28. Full, R. J. & Koditschek, D. E. 1999 Templates and anchors: neuromechanical hypotheses of legged locomotion on land. J. Exp. Biol. 202, 3325-3332. See http://www.ncbi.nlm.nih.gov/pubmed/10562515.
29. Full, R. J., Kubow, T., Schmitt, J., Holmes, P. & Koditschek, D. 2002 Quantifying dynamic stability and maneuverability in legged locomotion. Integr. Comp. Biol. 42, 149-157. (doi:10.1093/icb/42.1.149)
30. Rummel, J. & Seyfarth, A. 2008 Stable running with segmented legs. Int. J. Robot. Res. 27, 919-934. (doi:10.1177/0278364908095136)
31. Melvill Jones, G. M. & Watt, D. G. 1971 Observations on the control of stepping and hopping movements in man. J. Physiol. 219, 709-727. See http://www.ncbi.nlm.nih.gov/pubmed/5157598.
32. Farley, C. T., Blickhan, R., Saito, J. & Taylor, C. R. 1991 Hopping frequency in humans: a test of how springs set stride frequency in bouncing gaits. J. Appl. Physiol. 71, 2127-2132.
33. Farley, C. T. & Morgenroth, D. C. 1999 Leg stiffness primarily depends on ankle stiffness during human hopping. J. Exp. Biol. 32, 267-273. (Pubitemid 29125450)
34. Nielsen, J. B. 2003 How we walk: central control of muscle activity during human walking. Neuroscientist 9, 195. (doi:10.1177/1073858403251978)
35. Friesen, W. O. 2009 Central pattern generators: sensory feedback. In (ed. L. R. Squire), Encyclopedia of neuroscience, pp. 701-709. Oxford: Academic Press. (doi:10.1016/B978-008045046-9.01949-5)
36. Proctor, J., Kukillaya, R. P. & Holmes, P. 2010 A phasereduced neuro-mechanical model for insect locomotion: feedforward stability and proprioceptive feedback. Phil. Trans. R. Soc. A 368, 5087-5104. (doi:10.1098/rsta.2010.0134)
37. Zuur, A. T., Lundbye-Jensen, J., Leukel, C., Taube, W., Grey, M. J., Gollhofer, A., Nielsen, J. B. & Gruber, M. 2010 Contribution of afferent feedback and descending drive to human hopping. J. Physiol. 588, 799-807. (doi:10.1113/jphysiol.2009.182709)
38. Lam, T., Anderschitz, M. & Dietz, V. 2006 Contribution of feedback and feedforward strategies to locomotor adaptations. J. Neurophysiol. 95, 766-773. (doi:10.1152/jn.00473.2005)
39. Daley, M. A., Righetti, L. & Ijspeert, A. J. 2009 Modelling the interplay of central pattern generation and sensory feedback in the neuromuscular control of running. Comp. Biochem. Physiol. Part A Mol. Integr. Physiol. 153, 135. (doi:10.1016/j.cbpa.2009.04.243)
40. Gerritsen, K. G. M., van Den Bogert, A. J., Hulliger, M. & Zernicke, R. F. 1998 Intrinsic muscle properties facilitate locomotor control-a computer simulation study. Motor Control 2, 206-220. See http://www.ncbi.nlm.nih.gov/ pubmed/9644290.
41. Blickhan, R., Wagner, H. & Seyfarth, A. 2003 Brain or muscles. Recent Res. Dev. Biomech. 1, 215-245.
42. Brown, I. E. & Loeb, G. E. 2000 A reductionist approach to creating and using neuromusculoskeletal models. In Biomechanics and neural control of posture and movement (eds J. M. Winters & P. Crago), pp 148-163. New York, NY: Springer. See http://bme.usc.edu/assets/004/55325.pdf.
43. Kalveram, K. T., Schinauer, T., Beirle, S., Richter, S. & Jansen-Osmann, P. 2005 Threading neural feedforward into a mechanical spring: how biology exploits physics in limb control. Biol. Cybernet. 92, 229-240. (doi:10.1007/s00422-005-0542-6)
44. Kalveram, K. T. & Seyfarth, A. 2009 Inverse biomimetics: how robots can help to verify concepts concerning sensorimotor control of human arm and leg movements. J. Physiol. Paris 103, 232-243. (doi:10.1016/j.jphysparis.2009.08. 006)
45. Kalveram, K. T., Haeufle, D. F. B., Grimmer, S. & Seyfarth, A. 2010 Energy management that generates hopping. Comparison of virtual, robotic and human bouncing. In Proc. Int. Conf. on Simulation, Modeling and Programming for Autonomous Robots 2010, 15-18 November, Darmstadt, Germany, pp. 147-156. Berlin: Springer.
46. Schmitt, J. & Holmes, P. 2003 Mechanical models for insect locomotion: active muscles and energy losses. Biol. Cybernet. 89, 43-55. (doi:10.1007/s00422-003-0404-z)
47. Koditschek, D. E., Full, R. J. & Buehler, M. 2004 Mechanical aspects of legged locomotion control. Arthropod Struct. Dev. 33, 251-272. (doi:10.1016/j.asd.2004.06.003)
48. Kukillaya, R., Proctor, J. & Holmes, P. 2009 Neuromechanical models for insect locomotion: stability, maneuverability, and proprioceptive feedback. Chaos 19, 026107. (doi:10.1063/1.3141306)
49. Geyer, H. & Herr, H. 2010 A muscle-reflex model that encodes principles of legged mechanics produces human walking dynamics and muscle activities. IEEE Trans. Neural Syst. Rehabil. Eng. 18, 263-273. (doi:10.1109/TNSRE.2010.2047592)
50. Blickhan, R. & Full, R. J. 1993 Similarity in multilegged locomotion: bouncing like a monopode. J. Comp. Physiol. A 173, 509-517. (doi:10.1007/BF00197760)