Control of bimanual rhythmic movements: Trading efficiency for robustness depending on the context

Experimental Brain Research

Volumn 187, Issue 2, 2008, Pages 193-205

  Ronsse, Renaud ^a   Thonnard, Jean Louis ^b   Lefèvre, Philippe ^b,c   Sepulchre, Rodolphe ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

^b UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^c Catholic University of Louvain   (Belgium)

Author keywords

Discrete movements; Energy optimal control; Impact juggling; Rhythmic movements; Robust control; Sensorimotor loop

Indexed keywords

ACCELERATION; ADULT; ARM; ARM MOVEMENT; ARTICLE; CONTROLLED STUDY; CORRELATION ANALYSIS; ENERGY; FEMALE; HUMAN; HUMAN EXPERIMENT; KINEMATICS; MALE; MOTOR CONTROL; MOTOR PERFORMANCE; NORMAL HUMAN; PRIORITY JOURNAL; RHYTHM; SKILL; TASK PERFORMANCE; TIME; VELOCITY; VISION; VISUOMOTOR COORDINATION;

ADULT; ANALYSIS OF VARIANCE; ARM; BIOMECHANICS; EFFICIENCY; FEMALE; HUMANS; MALE; MOVEMENT; PERIODICITY; PSYCHOMOTOR PERFORMANCE; REACTION TIME; VISUAL PERCEPTION;

EID: 42649122975     PISSN: 00144819     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00221-008-1297-9     Document Type: Article

References (48)

1. KJ Åström RM Murray 2008 Feedback systems. An introduction for scientists and engineers Princeton University Press New Jersey Åström KJ, Murray RM (2008) Feedback systems. An introduction for scientists and engineers. Princeton University Press, New Jersey
2. PM Bays DM Wolpert 2007 Computational principles of sensorimotor control that minimize uncertainty and variability J Physiol 578 Pt 2 387 396 17008369 1:CAS:528:DC%2BD2sXhslKgtLw%3D Bays PM, Wolpert DM (2007) Computational principles of sensorimotor control that minimize uncertainty and variability. J Physiol 578(Pt 2):387–396
3. B Boulet Y Duan 2007 The fundamental tradeoff between performance and robustness—a new perspective on loop shaping IEEE Control Syst Mag 27 3 30 44 10.1109/MCS.2007.365002 Boulet B, Duan Y (2007) The fundamental tradeoff between performance and robustness—a new perspective on loop shaping. IEEE Control Syst Mag 27(3):30–44
4. AE Bryson YC Ho 1969 Applied optimal control: optimization, estimation, and control Blaisdell Waltham Bryson AE, Ho YC (1969) Applied optimal control: optimization, estimation, and control. Blaisdell, Waltham
5. A Buschges 2005 Sensory control and organization of neural networks mediating coordination of multisegmental organs for locomotion J Neurophysiol 93 3 1127 1135 15738270 10.1152/jn.00615.2004 Buschges A (2005) Sensory control and organization of neural networks mediating coordination of multisegmental organs for locomotion. J Neurophysiol 93(3):1127–1135
6. AH Clarke J Ditterich K Druen U Schonfeld C Steineke 2002 Using high frame rate cmos sensors for three-dimensional eye tracking Behav Res Methods Instrum Comput 34 4 549 560 12564559 1:STN:280:DC%2BD3s%2FlsVarug%3D%3D Clarke AH, Ditterich J, Druen K, Schonfeld U, Steineke C (2002) Using high frame rate cmos sensors for three-dimensional eye tracking. Behav Res Methods Instrum Comput 34(4):549–560
7. SH Collins M Wisse A Ruina 2001 A three-dimensional passive-dynamic walking robot with two legs and knees Int J Robot Res 20 7 607 615 10.1177/02783640122067561 Collins SH, Wisse M, Ruina A (2001) A three-dimensional passive-dynamic walking robot with two legs and knees. Int J Robot Res 20(7):607–615
8. S Collins A Ruina R Tedrake M Wisse 2005 Efficient bipedal robots based on passive-dynamic walkers Science 307 5712 1082 1085 15718465 10.1126/science.1107799 1:CAS:528:DC%2BD2MXhtlSrtb0%3D Collins S, Ruina A, Tedrake R, Wisse M (2005) Efficient bipedal robots based on passive-dynamic walkers. Science 307(5712):1082–1085
9. M Desmurget S Grafton 2000 Forward modeling allows feedback control for fast reaching movements Trends Cogn Sci 4 11 423 431 11058820 10.1016/S1364-6613(00)01537-0 Desmurget M, Grafton S (2000) Forward modeling allows feedback control for fast reaching movements. Trends Cogn Sci 4(11):423–431
10. A Rugy de K Wei H Muller D Sternad 2003 Actively tracking ‘passive’ stability in a ball bouncing task Brain Res 982 1 64 78 12915241 10.1016/S0006-8993(03)02976-7 1:CAS:528:DC%2BD3sXmt1aiu7c%3D de Rugy A, Wei K, Muller H, Sternad D (2003) Actively tracking ‘passive’ stability in a ball bouncing task. Brain Res 982(1):64–78
11. TMH Dijkstra H Katsumata A Rugy de D Sternad 2004 The dialogue between data and model: Passive stability and relaxation behavior in a ball bouncing task Nonlinear Stud 11 3 319 344 Dijkstra TMH, Katsumata H, de Rugy A, Sternad D (2004) The dialogue between data and model: Passive stability and relaxation behavior in a ball bouncing task. Nonlinear Stud 11(3):319–344
12. G Franklin JD Powell A Emami-Naeini 2005 Feedback control of dynamic systems 5 Prentice Hall Englewood Cliffs Franklin G, Powell JD, Emami-Naeini A (2005) Feedback control of dynamic systems, 5th edn. Prentice Hall, Englewood Cliffs
13. A Goswami B Thuilot B Espiau 1998 A study of the passive gait of a compass-like biped robot: symmetry and chaos Int J Robot Res 17 12 1282 1301 10.1177/027836499801701202 Goswami A, Thuilot B, Espiau B (1998) A study of the passive gait of a compass-like biped robot: symmetry and chaos. Int J Robot Res 17(12):1282–1301
14. CM Harris DM Wolpert 1998 Signal-dependent noise determines motor planning Nature 394 6695 780 784 9723616 10.1038/29528 1:CAS:528:DyaK1cXlslegsbc%3D http://dx.doi.org/10.1038/29528 Harris CM, Wolpert DM (1998) Signal-dependent noise determines motor planning. Nature 394(6695):780–784. http://dx.doi.org/10.1038/29528
15. CM Harris DM Wolpert 2006 The main sequence of saccades optimizes speed-accuracy trade-off Biol Cybern 95 1 21 29 16555070 10.1007/s00422-006-0064-x http://dx.doi.org/10.1007/s00422-006-0064-x Harris CM, Wolpert DM (2006) The main sequence of saccades optimizes speed-accuracy trade-off. Biol Cybern 95(1):21–29. http://dx.doi.org/10.1007/s00422-006-0064-x
16. M Haruno DM Wolpert M Kawato 2001 Mosaic model for sensorimotor learning and control Neural Comput 13 10 2201 2220 11570996 10.1162/089976601750541778 1:STN:280:DC%2BD3Mritl2nsQ%3D%3D Haruno M, Wolpert DM, Kawato M, (2001) Mosaic model for sensorimotor learning and control. Neural Comput 13(10):2201–2220
17. N Hogan D Sternad 2007 On rhythmic and discrete movements: reflections, definitions and implications for motor control Exp Brain Res 181 1 13 30 17530234 10.1007/s00221-007-0899-y Hogan N, Sternad D (2007) On rhythmic and discrete movements: reflections, definitions and implications for motor control. Exp Brain Res 181(1):13–30
18. R Huys PJ Beek 2002 The coupling between point-of-gaze and ball movements in three-ball cascade juggling: the effects of expertise, pattern and tempo J Sports Sci 20 3 171 186 11999474 10.1080/026404102317284745 Huys R, Beek PJ (2002) The coupling between point-of-gaze and ball movements in three-ball cascade juggling: the effects of expertise, pattern and tempo. J Sports Sci 20(3):171–186
19. Ijspeert A, Nakanishi J, Schaal S (2003) Learning attractor landscapes for learning motor primitives. In: Advances in neural information processing systems, vol 15. MIT Press, Cambridge, pp 1547–1554
20. MI Jordan DM Wolpert 1999 Computational motor control M Gazzaniga The cognitive neurosciences. MIT Press Cambridge Jordan MI, Wolpert DM (1999) Computational motor control. In: Gazzaniga M (ed) The cognitive neurosciences. MIT Press, Cambridge
21. A Karniel GF Inbar 2000 Human motor control: learning to control a time-varying, nonlinear, many-to-one system IEEE Trans Syst Man Cybern C Appl Rev 30 1 1 11 10.1109/5326.827449 Karniel A, Inbar GF (2000) Human motor control: Learning to control a time-varying, nonlinear, many-to-one system. IEEE Trans Syst Man Cybern C Appl Rev 30(1):1–11
22. H Katsumata V Zatsiorsky D Sternad 2003 Control of ball-racket interactions in rhythmic propulsion of elastic and non-elastic balls Exp Brain Res 149 1 17 29 12592500 Katsumata H, Zatsiorsky V, Sternad D (2003) Control of ball-racket interactions in rhythmic propulsion of elastic and non-elastic balls. Exp Brain Res 149(1):17–29
23. JAS Kelso 1995 Dynamic patterns. The self-organization of brain and behavior MIT Press Cambridge Kelso JAS (1995) Dynamic patterns. The self-organization of brain and behavior. MIT Press, Cambridge
24. JAS Kelso DL Southard D Goodman 1979 On the nature of human interlimb coordination Science 203 4384 1029 1031 424729 10.1126/science.424729 1:STN:280:DyaE1M7jvVKrtA%3D%3D Kelso JAS, Southard DL, Goodman D (1979) On the nature of human interlimb coordination. Science 203(4384):1029–1031
25. AD Kuo 2002 The relative roles of feedforward and feedback in the control of rhythmic movements Motor Control 6 2 129 145 12122223 Kuo AD (2002) The relative roles of feedforward and feedback in the control of rhythmic movements. Motor Control 6(2):129–145
26. MF Land P McLeod 2000 From eye movements to actions: how batsmen hit the ball Nat Neurosci 3 12 1340 1345 11100157 10.1038/81887 1:CAS:528:DC%2BD3cXosVGgtrw%3D Land MF, McLeod P (2000) From eye movements to actions: how batsmen hit the ball. Nat Neurosci 3(12):1340–1345
27. D Liu E Todorov 2007 Evidence for the flexible sensorimotor strategies predicted by optimal feedback control J Neurosci 27 35 9354 9368 17728449 10.1523/JNEUROSCI.1110-06.2007 1:CAS:528:DC%2BD2sXhtVaksL%2FM http://dx.doi.org/10.1523/JNEUROSCI.1110-06.2007 Liu D, Todorov E (2007) Evidence for the flexible sensorimotor strategies predicted by optimal feedback control. J Neurosci 27(35):9354–9368. http://dx.doi.org/10.1523/JNEUROSCI.1110-06.2007
28. T McGeer 1990 Passive dynamic walking Int J Robot Res 9 2 62 82 10.1177/027836499000900206 McGeer T (1990) Passive dynamic walking. Int J Robot Res 9(2):62–82
29. E Nakano H Imamizu R Osu Y Uno H Gomi T Yoshioka M Kawato 1999 Quantitative examinations of internal representations for arm trajectory planning: minimum commanded torque change model J Neurophysiol 81 5 2140 2155 10322055 1:STN:280:DyaK1M3lsFKhsw%3D%3D Nakano E, Imamizu H, Osu R, Uno Y, Gomi H, Yoshioka T, Kawato M (1999) Quantitative examinations of internal representations for arm trajectory planning: minimum commanded torque change model. J Neurophysiol 81(5):2140–2155
30. KE Novak LE Miller JC Houk 2002 The use of overlapping submovements in the control of rapid hand movements Exp Brain Res 144 3 351 364 12021817 10.1007/s00221-002-1060-6 1:STN:280:DC%2BD383otVeltQ%3D%3D Novak KE, Miller LE, Houk JC (2002) The use of overlapping submovements in the control of rapid hand movements. Exp Brain Res 144(3):351–364
31. R Ronsse P Lefevre R Sepulchre 2006 Sensorless stabilization of bounce juggling IEEE Trans Robot 22 1 147 159 10.1109/TRO.2005.858860 Ronsse R, Lefevre P, Sepulchre R (2006) Sensorless stabilization of bounce juggling. IEEE Trans Robot 22(1):147–159
32. R Ronsse P Lefevre R Sepulchre 2007 Rhythmic feedback control of a blind planar juggler IEEE Trans Robot 23 4 790 802 10.1109/TRO.2007.900602 Ronsse R, Lefevre P, Sepulchre R (2007) Rhythmic feedback control of a blind planar juggler. IEEE Trans Robot 23(4):790–802
33. Ronsse R, Lefevre P, Sepulchre R (2008) Robotics and neuroscience: a rhythmic interaction. Neural Netw (accepted for publication)
34. S Schaal N Schweighofer 2005 Computational motor control in humans and robots Curr Opin Neurobiol 15 6 675 682 16271466 10.1016/j.conb.2005.10.009 1:CAS:528:DC%2BD2MXht1Ggu7fE Schaal S, Schweighofer N (2005) Computational motor control in humans and robots. Curr Opin Neurobiol 15(6):675–682
35. S Schaal CG Atkeson D Sternad 1996 One-handed juggling: a dynamical approach to a rhythmic movement task J Mot Behav 28 2 165 183 12529218 10.1080/00222895.1996.9941743 Schaal S, Atkeson CG, Sternad D (1996) One-handed juggling: a dynamical approach to a rhythmic movement task. J Mot Behav 28(2):165–183
36. S Schaal D Sternad R Osu M Kawato 2004 Rhythmic arm movement is not discrete Nat Neurosci 7 10 1136 1143 15452580 10.1038/nn1322 1:CAS:528:DC%2BD2cXnvVOntrk%3D Schaal S, Sternad D, Osu R, Kawato M (2004) Rhythmic arm movement is not discrete. Nat Neurosci 7(10):1136–1143
37. SH Scott 2004 Optimal feedback control and the neural basis of volitional motor control Nat Rev Neurosci 5 7 532 546 15208695 10.1038/nrn1427 1:CAS:528:DC%2BD2cXkvF2ktrk%3D Scott SH (2004) Optimal feedback control and the neural basis of volitional motor control. Nat Rev Neurosci 5(7):532–546
38. D Sternad 1999 Juggling and bouncing balls: parallels and differences in dynamic concepts and tools Int J Sport Psychol 30 4 462 489 Sternad D (1999) Juggling and bouncing balls: parallels and differences in dynamic concepts and tools. Int J Sport Psychol 30(4):462–489
39. D Sternad M Duarte H Katsumata S Schaal 2001 Bouncing a ball: tuning into dynamic stability J Exp Psychol Hum Percept Perform 27 5 1163 1184 11642701 10.1037/0096-1523.27.5.1163 1:STN:280:DC%2BD3MrmtF2qtA%3D%3D Sternad D, Duarte M, Katsumata H, Schaal S (2001a) Bouncing a ball: tuning into dynamic stability. J Exp Psychol Hum Percept Perform 27(5):1163–1184
40. Sternad D, Duarte M, Katsumata H, Schaal S (2001b) Dynamics of a bouncing ball in human performance. Phys Rev E 6301(1), art. no. 011902
41. SP Swinnen 2002 Intermanual coordination: from behavioural principles to neural-network interactions Nat Rev Neurosci 3 5 348 359 11988774 10.1038/nrn807 1:CAS:528:DC%2BD38XjsFynurs%3D Swinnen SP (2002) Intermanual coordination: from behavioural principles to neural-network interactions. Nat Rev Neurosci 3(5):348–359
42. SP Swinnen N Wenderoth 2004 Two hands, one brain: cognitive neuroscience of bimanual skill Trends Cogn Sci 8 1 18 25 14697399 10.1016/j.tics.2003.10.017 Swinnen SP, Wenderoth N (2004) Two hands, one brain: cognitive neuroscience of bimanual skill. Trends Cogn Sci 8(1):18–25
43. E Todorov 2004 Optimality principles in sensorimotor control Nat Neurosci 7 9 907 915 15332089 10.1038/nn1309 1:CAS:528:DC%2BD2cXmvFyqu78%3D Todorov E (2004) Optimality principles in sensorimotor control. Nat Neurosci 7(9):907–915
44. E Todorov 2006 Optimal control theory K Doya S Ishii A Pouget RP Rao Bayesian brain MIT Press Cambridge Todorov E (2006) Optimal control theory. In: Doya K, Ishii S, Pouget A, Rao RP (eds) Bayesian brain. MIT Press, Cambridge
45. E Todorov MI Jordan 2002 Optimal feedback control as a theory of motor coordination Nat Neurosci 5 11 1226 1235 12404008 10.1038/nn963 1:CAS:528:DC%2BD38Xot1ansb4%3D Todorov E, Jordan MI (2002) Optimal feedback control as a theory of motor coordination. Nat Neurosci 5(11):1226–1235
46. K Wei TMH Dijkstra D Sternad 2007 Passive stability and active control in a rhythmic task J Neurophysiol 98 2633 2646 17881482 10.1152/jn.00742.2007 http://dx.doi.org/10.1152/jn.00742.2007 Wei K, Dijkstra TMH, Sternad D (2007) Passive stability and active control in a rhythmic task. J Neurophysiol 98:2633–2646. http://dx.doi.org/10.1152/jn.00742.2007
47. DM Wolpert Z Ghahramani 2000 Computational principles of movement neuroscience Nat Neurosci 3 Suppl 1212 1217 11127840 10.1038/81497 1:CAS:528:DC%2BD3cXotlKit7k%3D Wolpert DM, Ghahramani Z (2000) Computational principles of movement neuroscience. Nat Neurosci 3(Suppl):1212–1217
48. DM Wolpert M Kawato 1998 Multiple paired forward and inverse models for motor control Neural Netw 11 7–8 1317 1329 12662752 10.1016/S0893-6080(98)00066-5 1:STN:280:DC%2BD1Mjjs1Smtw%3D%3D Wolpert DM, Kawato M (1998) Multiple paired forward and inverse models for motor control. Neural Netw 11(7–8):1317–1329