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Volumn , Issue , 2010, Pages 536-541

Exploiting sensorimotor stochasticity for learning control of variable impedance actuators

Author keywords

[No Author keywords available]

Indexed keywords

A PLANTS; ENERGY COST; LEARNING CONTROL; OPTIMAL CONTROL METHODS; OPTIMAL CONTROLS; PLANT DYNAMICS; PROCESS DYNAMICS; ROBOTIC SYSTEMS; STOCHASTIC CHARACTERISTIC; STOCHASTIC PROPERTIES; STOCHASTICITY; SYSTEMATIC CHANGES; VARIABLE IMPEDANCE;

EID: 79851491762     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHR.2010.5686290     Document Type: Conference Paper
Times cited : (16)

References (18)
  • 2
    • 0035936150 scopus 로고    scopus 로고
    • The central nervous system stabilizes unstable dynamics by learning optimal impedance
    • DOI 10.1038/35106566
    • E. Burdet, R. Osu, D. W. Franklin, T. E. Milner, and M. Kawato. The central nervous system stabilizes unstable dynamics by learning optimal impedance. Nature, 414:446-449, 2001. (Pubitemid 34173725)
    • (2001) Nature , vol.414 , Issue.6862 , pp. 446-449
    • Burdet, E.1    Osu, R.2    Franklin, D.W.3    Milner, T.E.4    Kawato, M.5
  • 5
    • 0021479511 scopus 로고
    • ADAPTIVE CONTROL of MECHANICAL IMPEDANCE by COACTIVATION of ANTAGONIST MUSCLES
    • N. Hogan. Adaptive control of mechanical impedance by coactivation of antagonist muscles. IEEE Transactions on Automatic Control, 29(8):681-690, 1984. (Pubitemid 14632166)
    • (1984) IEEE Transactions on Automatic Control , vol.AC-29 , Issue.8 , pp. 681-690
    • Hogan, N.1
  • 7
    • 0032787485 scopus 로고    scopus 로고
    • Internal models for motor control and trajectory planning
    • M. Kawato. Internal models for motor control and trajectory planning. Current Opinion in Neurobiology, 9(6):718-727, 1999.
    • (1999) Current Opinion in Neurobiology , vol.9 , Issue.6 , pp. 718-727
    • Kawato, M.1
  • 12
    • 4344685154 scopus 로고    scopus 로고
    • Optimality principles in sensorimotor control
    • DOI 10.1038/nn1309
    • E. Todorov. Optimality principles in sensorimotor control. Nature Neuroscience, 7(9):907-915, 2004. (Pubitemid 39129496)
    • (2004) Nature Neuroscience , vol.7 , Issue.9 , pp. 907-915
    • Todorov, E.1
  • 17
    • 27144556425 scopus 로고    scopus 로고
    • Incremental online learning in high dimensions
    • DOI 10.1162/089976605774320557
    • S. Vijayakumar, A. D'Souza, and S. Schaal. Incremental online learning in high dimensions. Neural Computation, 17:2602-2634, 2005. (Pubitemid 41505186)
    • (2005) Neural Computation , vol.17 , Issue.12 , pp. 2602-2634
    • Vijayakumar, S.1    D'Souza, A.2    Schaal, S.3
  • 18
    • 0028799979 scopus 로고
    • An internal model for sensorimotor integration
    • D. M. Wolpert, Z. Ghahramani, and M. I. Jordan. An internal model for sensorimotor integration. Science, 269(5232):1880-1882, 1995.
    • (1995) Science , vol.269 , Issue.5232 , pp. 1880-1882
    • Wolpert, D.M.1    Ghahramani, Z.2    Jordan, M.I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.