메뉴 건너뛰기




Volumn 27, Issue 1, 2009, Pages 3-23

On-line learning and modulation of periodic movements with nonlinear dynamical systems

Author keywords

Adaptive frequency oscillators; Dynamic movement primitives; Learning by imitation; Modulating learned trajectory

Indexed keywords

ADAPTIVE FREQUENCY; ADAPTIVE FREQUENCY OSCILLATORS; DYNAMIC ENVIRONMENTS; DYNAMIC MOVEMENT PRIMITIVES; FUNDAMENTAL FREQUENCIES; INPUT SIGNAL; LAYERED SYSTEMS; LEARNING BY IMITATION; MODULATING LEARNED TRAJECTORY; MULTIPLE DIMENSIONS; NONSTATIONARY SIGNALS; ONLINE LEARNING; PERIODIC SIGNAL; PERIODIC TASKS; PERIODIC TRAJECTORIES; SECOND LAYER; WAVE FORMS;

EID: 67651002795     PISSN: 09295593     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10514-009-9118-y     Document Type: Article
Times cited : (158)

References (42)
  • 2
    • 33845627656 scopus 로고    scopus 로고
    • Engineering entrainment and adaptation in limit cycle systems: From biological inspiration to applications in robotics
    • DOI 10.1007/s00422-006-0128-y, Dynamic Principles
    • J. Buchli L. Righetti A. Ijspeert 2006 Engineering entrainment and adaptation in limit cycle systems-from biological inspiration to applications in robotics Biological Cybernetics 95 6 645 664 (Pubitemid 44949005)
    • (2006) Biological Cybernetics , vol.95 , Issue.6 , pp. 645-664
    • Buchli, J.1    Righetti, L.2    Ijspeert, A.J.3
  • 3
    • 77956742568 scopus 로고
    • VITE and FLETE: Neural modules for trajectory formation and postural control
    • Elsevier Amsterdam
    • Bullock, D., & Grossberg, S. (1989). VITE and FLETE: neural modules for trajectory formation and postural control. In W. Hersberger (Ed.), Volitional control (pp. 253-297). Amsterdam: Elsevier.
    • (1989) Volitional Control , pp. 253-297
    • Bullock, D.1    Grossberg, S.2    Hersberger, W.3
  • 4
    • 34047173490 scopus 로고    scopus 로고
    • On learning, representing, and generalizing a task in a humanoid robot
    • DOI 10.1109/TSMCB.2006.886952, Special Issue on Robot Learning by Observation, Demonstration and Imitation
    • Calinon, S., Guenter, F., & Billard, A. (2007). On learning, representing and generalizing a task in a humanoid robot. IEEE Transactions on Systems, Man and Cybernetics, Part B, Special issue on robot learning by observation, demonstration and imitation, 37(2), 286-298. (Pubitemid 46523219)
    • (2007) IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , vol.37 , Issue.2 , pp. 286-298
    • Calinon, S.1    Guenter, F.2    Billard, A.3
  • 7
    • 0036168527 scopus 로고    scopus 로고
    • Automated derivation of primitives for movement classification
    • DOI 10.1023/A:1013254724861
    • A. Fod M. Mataric O. C. Jenkins 2002 Automated derivation of primitives for movement classification Autonomous Robots 12 1 39 54 (Pubitemid 34156621)
    • (2002) Autonomous Robots , vol.12 , Issue.1 , pp. 39-54
    • Fod, A.1    Mataric, M.J.2    Jenkins, O.C.3
  • 8
    • 34547241780 scopus 로고    scopus 로고
    • Imitating human acceleration of a gyroscopic device
    • DOI 10.1017/S0263574707003396, PII S0263574707003396
    • A. Gams L. Zlajpah J. Lenarcic 2007 Imitating human acceleration of a gyroscopic device Robotica 25 4 501 509 (Pubitemid 47131396)
    • (2007) Robotica , vol.25 , Issue.4 , pp. 501-509
    • Gams, A.1    Zlajpah, L.2    Lenarcic, J.3
  • 9
    • 63549108724 scopus 로고    scopus 로고
    • Learning nonparametric models for probabilistic imitation
    • Grimes, D., Rashid, D., & Rao, R. (2006). Learning nonparametric models for probabilistic imitation. In NIPS, pp. 521-528.
    • (2006) NIPS , pp. 521-528
    • Grimes, D.1    Rashid, D.2    Rao, R.3
  • 10
    • 34948857495 scopus 로고    scopus 로고
    • Reinforcement learning for imitating constrained reaching movements
    • Guenter, F., Hersch, M., Calinon, S., & Billard, A. (2007). Reinforcement learning for imitating constrained reaching movements. RSJ Advanced Robotics, Special Issue on Imitative Robots, 21(13), 1521-1544. (Pubitemid 47529845)
    • (2007) Advanced Robotics , vol.21 , Issue.13 , pp. 1521-1544
    • Guenter, F.1    Hersch, M.2    Calinon, S.3    Billard, A.4
  • 11
    • 0032552114 scopus 로고    scopus 로고
    • Signal-dependent noise determines motor planning
    • 10.1038/29528
    • C. M. Harris D. M. Wolpert 1998 Signal-dependent noise determines motor planning Nature 394 6695 780 784 10.1038/29528
    • (1998) Nature , vol.394 , Issue.6695 , pp. 780-784
    • Harris, C.M.1    Wolpert, D.M.2
  • 13
    • 22844453785 scopus 로고    scopus 로고
    • Evolving swimming controllers for a simulated lamprey with inspiration from neurobiology
    • A. Ijspeert J. Hallam D. Willshaw 1999 Evolving swimming controllers for a simulated lamprey with inspiration from neurobiology Adaptive Behavior 7 2 151 172 (Pubitemid 129722447)
    • (1999) Adaptive Behavior , vol.7 , Issue.2 , pp. 151-172
    • Ijspeert, A.J.1    Hallam, J.2    Willshaw, D.3
  • 17
    • 40049092971 scopus 로고    scopus 로고
    • Central pattern generators for locomotion control in animals and robots: A review
    • DOI 10.1016/j.neunet.2008.03.014, PII S0893608008000804
    • A. J. Ijspeert 2008 Central pattern generators for locomotion control in animals and robots: a review Neural Networks 21 4 642 653 (Pubitemid 351799963)
    • (2008) Neural Networks , vol.21 , Issue.4 , pp. 642-653
    • Ijspeert, A.J.1
  • 20
    • 0000928816 scopus 로고    scopus 로고
    • Trajectory formation in arm movements: Minimization principles and procedures
    • Human Kinetics Publisher Champaign
    • Kawato, M. (1996). Trajectory formation in arm movements: minimization principles and procedures. In H. Zelaznik (Ed.), Advance in motor learning and control (pp. 225-259). Champaign: Human Kinetics Publisher.
    • (1996) Advance in Motor Learning and Control , pp. 225-259
    • Kawato, M.1    Zelaznik, H.2
  • 21
    • 0022674420 scopus 로고
    • REAL-TIME OBSTACLE AVOIDANCE FOR MANIPULATORS AND MOBILE ROBOTS.
    • O. Khatib 1986 Real-time obstacle avoidance for manipulators and mobile robots International Journal of Robotic Research 5 1 90 98 (Pubitemid 16546612)
    • (1986) International Journal of Robotics Research , vol.5 , Issue.1 , pp. 90-98
    • Khatib Oussama1
  • 22
  • 24
    • 0036834701 scopus 로고    scopus 로고
    • Real-time computing without stable states: A new framework for neural computation based on perturbations
    • W. Maass T. Natschläger H. Markram 2002 Real-time computing without stable states: A new framework for neural computation based on perturbations Neural Computation 14 11 2531 2560
    • (2002) Neural Computation , vol.14 , Issue.11 , pp. 2531-2560
    • Maass, W.1    Natschläger, T.2    Markram, H.3
  • 25
    • 0032030158 scopus 로고    scopus 로고
    • Behavior-based robotics as a tool for synthesis of artificial behavior and analysis of natural behavior
    • DOI 10.1016/S1364-6613(98)01141-3, PII S1364661398011413
    • M. Mataric 1998 Behavior-based robotics as a tool for synthesis of artificial behavior and analysis of natural behavior Trends in Cognitive Science 2 3 82 87 (Pubitemid 28396471)
    • (1998) Trends in Cognitive Sciences , vol.2 , Issue.3 , pp. 82-87
    • Mataric, M.J.1
  • 26
    • 29344444338 scopus 로고    scopus 로고
    • Trajectory synthesis by hierarchical spatio-temporal correspondence: Comparison of different methods
    • DOI 10.1145/1080402.1080406, Proceedings - APGV 2005: 2nd Symposium on Applied Perception in Graphics and Visualization
    • Mezger, J. W. I., & Giese, M. (2005). Trajectory synthesis by hierarchical spatio-temporal correspondence: comparison of different methods. In APGV '05: Proceedings of the 2nd symposium on Applied perception in graphics and visualization (pp. 25-32). New York: ACM. (Pubitemid 43004908)
    • (2005) Proceedings - APGV 2005: 2nd Symposium on Applied Perception in Graphics and Visualization , pp. 25-32
    • Mezger, J.1    Ilg, W.2    Giese, M.A.3
  • 28
    • 0030659391 scopus 로고    scopus 로고
    • Nonlinear force fields: A distributed system of control primitives for representing and learning movements
    • IEEE, Computer Society Los Alamitos
    • Mussa-Ivaldi, F. (1997). Nonlinear force fields: a distributed system of control primitives for representing and learning movements. In IEEE International Symposium on Computational Intelligence in Robotics and Automation (pp. 84-90). Los Alamitos: IEEE, Computer Society.
    • (1997) IEEE International Symposium on Computational Intelligence in Robotics and Automation , pp. 84-90
    • Mussa-Ivaldi, F.1
  • 29
    • 0032029137 scopus 로고    scopus 로고
    • A learning model for oscillatory networks
    • DOI 10.1016/S0893-6080(97)00074-9, PII S0893608097000749
    • J. Nishii 1998 A learning model for oscillatory networks Neural Networks 11 2 249 257 (Pubitemid 28231471)
    • (1998) Neural Networks , vol.11 , Issue.2 , pp. 249-257
    • Nishii, J.1
  • 31
    • 9144259348 scopus 로고    scopus 로고
    • Motor primitive and sequence self-organization in a hierarchical recurrent neural network
    • DOI 10.1016/j.neunet.2004.08.005, PII S0893608004001595, New Developments in Self-Organizing Systems
    • R. W. Paine J. Tani 2004 Motor primitive and sequence self-organization in a hierarchical recurrent neural network Neural Networks 17 1291 1309 (Pubitemid 39539543)
    • (2004) Neural Networks , vol.17 , Issue.8-9 , pp. 1291-1309
    • Paine, R.W.1    Tani, J.2
  • 32
    • 33845640093 scopus 로고    scopus 로고
    • Programmable central pattern generators: An application to biped locomotion control
    • DOI 10.1109/ROBOT.2006.1641933, 1641933, Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006
    • Righetti, L., & Ijspeert, A. (2006). Programmable central pattern generators: an application to biped locomotion control. In Proceedings of the 2006 IEEE international conference on robotics and automation (pp. 1585-1590). (Pubitemid 44940296)
    • (2006) Proceedings - IEEE International Conference on Robotics and Automation , vol.2006 , pp. 1585-1590
    • Righetti, L.1    Ijspeert, A.J.2
  • 33
    • 33646131859 scopus 로고    scopus 로고
    • Dynamic Hebbian learning in adaptive frequency oscillators
    • L. Righetti J. Buchli A. Ijspeert 2006 Dynamic Hebbian learning in adaptive frequency oscillators Physica D 216 2 269 281
    • (2006) Physica D , vol.216 , Issue.2 , pp. 269-281
    • Righetti, L.1    Buchli, J.2    Ijspeert, A.3
  • 34
    • 0142134896 scopus 로고    scopus 로고
    • Avoiding spurious submovement decompositions: A globally optimal algorithm
    • B. Rohrer N. Hogan 2003 Avoiding spurious submovement decompositions: a globally optimal algorithm Biological Cybernetics 89 3 190 199
    • (2003) Biological Cybernetics , vol.89 , Issue.3 , pp. 190-199
    • Rohrer, B.1    Hogan, N.2
  • 35
    • 0033151712 scopus 로고    scopus 로고
    • Is imitation learning the route to humanoid robots?
    • DOI 10.1016/S1364-6613(99)01327-3, PII S1364661399013273
    • S. Schaal 1999 Is imitation learning the route to humanoid robots? Trends in Cognitive Sciences 3 233 242 (Pubitemid 29261903)
    • (1999) Trends in Cognitive Sciences , vol.3 , Issue.6 , pp. 233-242
    • Schaal, S.1
  • 36
    • 0001108227 scopus 로고    scopus 로고
    • Constructive Incremental Learning from only Local Information
    • S. Schaal C. Atkeson 1998 Constructive incremental learning from only local information Neural Computation 10 2047 2084 (Pubitemid 128464295)
    • (1998) Neural Computation , vol.10 , Issue.8 , pp. 2047-2084
    • Schaal, S.1    Atkeson, C.G.2
  • 37
    • 34848832311 scopus 로고    scopus 로고
    • Dynamics systems vs. optimal control - a unifying view
    • DOI 10.1016/S0079-6123(06)65027-9, PII S0079612306650279, Computational Neuroscience: Theoretical Insights into Brain Function
    • S. Schaal P. Mohajerian A. Ijspeert 2007 Dynamics systems vs. optimal control a unifying view Progress in Brain Research 165 425 445 (Pubitemid 47513886)
    • (2007) Progress in Brain Research , vol.165 , pp. 425-445
    • Schaal, S.1    Mohajerian, P.2    Ijspeert, A.3
  • 38
    • 84898772258 scopus 로고
    • Reverse TDNN: An architecture for trajectory generation
    • Simard, P., & LeCun, Y. (1991). Reverse TDNN: an architecture for trajectory generation. In NIPS (pp. 579-588).
    • (1991) NIPS , pp. 579-588
    • Simard, P.1    Lecun, Y.2
  • 39
    • 0242355155 scopus 로고    scopus 로고
    • Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment
    • J. Tani M. Ito 2003 Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment IEEE Transactions on Systems, Man, and Cybernetics 33 4 481 488
    • (2003) IEEE Transactions on Systems, Man, and Cybernetics , vol.33 , Issue.4 , pp. 481-488
    • Tani, J.1    Ito, M.2
  • 42
    • 0037507284 scopus 로고    scopus 로고
    • Trajectory generation and modulation using dynamic neural networks
    • P. Zegers M. Sundareshan 2003 Trajectory generation and modulation using dynamic neural networks IEEE Transactions on Neural Networks 14 3 520 533
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.3 , pp. 520-533
    • Zegers, P.1    Sundareshan, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.