Manipulating objects with internal degrees of freedom: evidence for model-based control.
暂无分享,去创建一个
Christopher D Mah | Ferdinando A Mussa-Ivaldi | Jonathan B Dingwell | F. Mussa-Ivaldi | J. Dingwell | C. D. Mah
[1] F A Mussa-Ivaldi,et al. Adaptive representation of dynamics during learning of a motor task , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[2] Naoji Shiroma,et al. Collision-Free Trajectory Planning for a 3-DoF Robot with a Passive Joint , 2000, Int. J. Robotics Res..
[3] Hiroshi Imamizu,et al. Human cerebellar activity reflecting an acquired internal model of a new tool , 2000, Nature.
[4] David A. Winter,et al. Biomechanics and Motor Control of Human Movement , 1990 .
[5] D M Wolpert,et al. Multiple paired forward and inverse models for motor control , 1998, Neural Networks.
[6] O. Bock. Load compensation in human goal-directed arm movements , 1990, Behavioural Brain Research.
[7] J.M. Hollerbach,et al. A robust ensemble data method for identification of human joint mechanical properties during movement , 1999, IEEE Transactions on Biomedical Engineering.
[8] Mitsuo Kawato,et al. Equilibrium-Point Control Hypothesis Examined by Measured Arm Stiffness During Multijoint Movement , 1996, Science.
[9] T. Brashers-Krug,et al. Functional Stages in the Formation of Human Long-Term Motor Memory , 1997, The Journal of Neuroscience.
[10] D M Wolpert,et al. Predicting the Consequences of Our Own Actions: The Role of Sensorimotor Context Estimation , 1998, The Journal of Neuroscience.
[11] F A Mussa-Ivaldi,et al. Central representation of time during motor learning. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[12] E. Bizzi,et al. Controlling multijoint motor behavior. , 1987, Exercise and sport sciences reviews.
[13] R A Scheidt,et al. Persistence of motor adaptation during constrained, multi-joint, arm movements. , 2000, Journal of neurophysiology.
[14] F. Mussa-Ivaldi,et al. The motor system does not learn the dynamics of the arm by rote memorization of past experience. , 1997, Journal of neurophysiology.
[15] E Burdet,et al. A method for measuring endpoint stiffness during multi-joint arm movements. , 2000, Journal of biomechanics.
[16] J. Lackner,et al. Motor adaptation to Coriolis force perturbations of reaching movements: endpoint but not trajectory adaptation transfers to the nonexposed arm. , 1995, Journal of neurophysiology.
[17] D. Humphrey,et al. Separate cortical systems for control of joint movement and joint stiffness: reciprocal activation and coactivation of antagonist muscles. , 1983, Advances in neurology.
[18] P. Crago,et al. Effects of voluntary force generation on the elastic components of endpoint stiffness , 2001, Experimental Brain Research.
[19] Karl M. Newell,et al. Variability and Motor Control , 1993 .
[20] R L Sainburg,et al. Intersegmental dynamics are controlled by sequential anticipatory, error correction, and postural mechanisms. , 1999, Journal of neurophysiology.
[21] P. Morasso. Spatial control of arm movements , 2004, Experimental Brain Research.
[22] Toshio Tsuji,et al. Human hand impedance characteristics during maintained posture , 1995, Biological Cybernetics.
[23] J. Lackner,et al. Rapid adaptation to Coriolis force perturbations of arm trajectory. , 1994, Journal of neurophysiology.
[24] Kevin M. Lynch,et al. Dynamic Nonprehensile Manipulation: Controllability, Planning, and Experiments , 1999, Int. J. Robotics Res..
[25] C. D. Mah. Spatial and temporal modulation of joint stiffness during multijoint movement , 2001, Experimental Brain Research.
[26] Otmar Bock,et al. Early stages of load compensation in human aimed arm movements , 1993, Behavioural Brain Research.
[27] Daniel M. Wolpert,et al. Forward Models for Physiological Motor Control , 1996, Neural Networks.
[28] H. Gomi,et al. Task-Dependent Viscoelasticity of Human Multijoint Arm and Its Spatial Characteristics for Interaction with Environments , 1998, The Journal of Neuroscience.
[29] S. Schaal,et al. Robot juggling: implementation of memory-based learning , 1994, IEEE Control Systems.
[30] Mitsuo Kawato,et al. Human arm stiffness and equilibrium-point trajectory during multi-joint movement , 1997, Biological Cybernetics.
[31] D. J. Bennett. Stretch reflex responses in the human elbow joint during a voluntary movement. , 1994, The Journal of physiology.
[32] J V Cohn,et al. Reaching during virtual rotation: context specific compensations for expected coriolis forces. , 2000, Journal of neurophysiology.
[33] A. G. Witney,et al. Learning and decay of prediction in object manipulation. , 2000, Journal of neurophysiology.
[34] K. J. Cole,et al. Memory representations underlying motor commands used during manipulation of common and novel objects. , 1993, Journal of neurophysiology.
[35] T. Flash,et al. The coordination of arm movements: an experimentally confirmed mathematical model , 1985, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[36] R Shadmehr,et al. Spatial Generalization from Learning Dynamics of Reaching Movements , 2000, The Journal of Neuroscience.
[37] E Bizzi,et al. Motor learning by field approximation. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[38] Michael I. Jordan,et al. An internal model for sensorimotor integration. , 1995, Science.
[39] R Shadmehr,et al. Electromyographic Correlates of Learning an Internal Model of Reaching Movements , 1999, The Journal of Neuroscience.
[40] N Hogan,et al. Planning and execution of multijoint movements. , 1988, Canadian journal of physiology and pharmacology.
[41] H. Dr,et al. Separate cortical systems for control of joint movement and joint stiffness: reciprocal activation and coactivation of antagonist muscles. , 1983 .