Learning arm kinematics and dynamics.
暂无分享,去创建一个
[1] Frank Rosenblatt,et al. PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS , 1963 .
[2] Stephen Grossberg,et al. On Learning of Spatiotemporal Patterns by Networks with Ordered Sensory and Motor Components 1. Excitatory Components of the Cerebellum , 1969 .
[3] J. Albus. A Theory of Cerebellar Function , 1971 .
[4] W. T. Singleton,et al. Man-machine systems , 1974 .
[5] James S. Albus,et al. Data Storage in the Cerebellar Model Articulation Controller (CMAC) , 1975 .
[6] James S. Albus,et al. New Approach to Manipulator Control: The Cerebellar Model Articulation Controller (CMAC)1 , 1975 .
[7] M. Raibert. Analytical equations vs. table look-up for manipulation: A unifying concept , 1977, 1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications.
[8] M. H. Raibert,et al. Manipulator control using the configuration space method , 1978 .
[9] Masaru Uchiyama,et al. Formation of High-Speed Motion Pattern of a Mechanical Arm by Trial , 1978 .
[10] E. Bizzi,et al. Effect of load disturbances during centrally initiated movements. , 1978, Journal of neurophysiology.
[11] A. Pellionisz,et al. Brain modeling by tensor network theory and computer simulation. The cerebellum: Distributed processor for predictive coordination , 1979, Neuroscience.
[12] Elliot Saltzman,et al. Levels of sensorimotor representation , 1979 .
[13] A. Pellionisz,et al. Tensorial approach to the geometry of brain function: Cerebellar coordination via a metric tensor , 1980, Neuroscience.
[14] Teuvo Kohonen,et al. Content-addressable memories , 1980 .
[15] D A Robinson,et al. The use of control systems analysis in the neurophysiology of eye movements. , 1981, Annual review of neuroscience.
[16] K. Preston White,et al. Systems engineering models of human-machine interaction , 1981, Proceedings of the IEEE.
[17] James S. Albus,et al. Brains, behavior, and robotics , 1981 .
[18] Kamesh Ramakrishna. Review of "Systems Engineering Models of Human-Machine Interaction by William B. Rouse", North Holland. , 1981, SGAR.
[19] J. Hollerbach. Computers, brains and the control of movement , 1982, Trends in Neurosciences.
[20] F. J. Clark,et al. Signaling of kinesthetic information by peripheral sensory receptors. , 1982, Annual review of neuroscience.
[21] P. Matthews. Where does Sherrington's "muscular sense" originate? Muscles, joints, corollary discharges? , 1982, Annual review of neuroscience.
[22] A. Pellionisz,et al. Space-time representation in the brain. The cerebellum as a predictive space-time metric tensor , 1982, Neuroscience.
[23] Hendrik Van Brussel,et al. A self-learning automaton with variable resolution for high precision assembly by industrial robots , 1982 .
[24] Richard S. Sutton,et al. Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[25] G. Loeb. Finding common groud between robotics and physiology , 1983, Trends in Neurosciences.
[26] John J. Craig,et al. Adaptive control of manipulators through repeated trials , 1984 .
[27] A. Wing,et al. The Psychology of human movement , 1984 .
[28] J. Adams. Learning of movement sequences , 1984 .
[29] R. Schmidt,et al. Knowledge of results and motor learning: a review and critical reappraisal. , 1984, Psychological bulletin.
[30] T. Poggio,et al. The analysis of stereopsis. , 1984, Annual review of neuroscience.
[31] Geoffrey E. Hinton,et al. Parallel computations for controlling an arm. , 1984, Journal of motor behavior.
[32] Suguru Arimoto,et al. Bettering operation of Robots by learning , 1984, J. Field Robotics.
[33] J. F. Soechting,et al. Psychophysical determination of coordinate representation of human arm orientation , 1984, Neuroscience.
[34] Marc H. Raibert,et al. Tabular control of balance in a dynamic legged system , 1984, IEEE Transactions on Systems, Man, and Cybernetics.
[35] Enis Ersü,et al. A New Concept for Learning Control Inspired by Brain Theory , 1984 .
[36] John M. Hollerbach,et al. The Computational Approach to Vision and Motor Control , 1985 .
[37] George A. Bekey,et al. Identification of parameters in models of robots with rotary joints , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.
[38] S. Arimoto,et al. Learning control theory for dynamical systems , 1985, 1985 24th IEEE Conference on Decision and Control.
[39] F A Miles,et al. Visually induced adaptive changes in primate saccadic oculomotor control signals. , 1985, Journal of neurophysiology.
[40] Amitabha Mukerjee. Adaptation In Biological Sensory-Motor Systems: A Model For Robotic Control. , 1985, Other Conferences.
[41] S. Hara,et al. Synthesis of repetitive control systems and its application , 1985, 1985 24th IEEE Conference on Decision and Control.
[42] Richard S. Sutton,et al. Training and Tracking in Robotics , 1985, IJCAI.
[43] A. Berthoz,et al. Adaptive mechanisms in gaze control : facts and theories , 1985 .
[44] R. Liscano,et al. A Sensor Based Approach For Robot Programming , 1985, Other Conferences.
[45] S. Amari,et al. Sensori-motor transformations in the brain (with a critique of the tensor theory of cerebellum). , 1985, Journal of theoretical biology.
[46] John Annett,et al. Motor Learning: A Review , 1985 .
[47] S. Wray. Adaptive mechanisms in gaze control. , 1986, Reviews of oculomotor research.
[48] Amitabha Mukerjee,et al. Self-calibration in robot manipulators , 1985, Proceedings. 1985 IEEE International Conference on Robotics and Automation.
[49] W. Daniel Hillis,et al. The connection machine , 1985 .
[50] A. Pellionisz,et al. Tensor network theory of the metaorganization of functional geometries in the central nervous system , 1985, Neuroscience.
[51] A. G. Feldman. Once More on the Equilibrium-Point Hypothesis (λ Model) for Motor Control , 1986 .
[52] A. Georgopoulos. On reaching. , 1986, Annual review of neuroscience.
[53] M. Togai,et al. Learning control and its optimality: Analysis and its application to controlling industrial robots , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.
[54] C. Gielen,et al. Coordination of arm muscles during flexion and supination: Application of the tensor analysis approach , 1986, Neuroscience.
[55] Christopher G. Atkeson,et al. Estimation of Inertial Parameters of Manipulator Loads and Links , 1986 .
[56] S Ullman,et al. Artificial intelligence and the brain: computational studies of the visual system. , 1986, Annual review of neuroscience.
[57] O. I. Fukson,et al. Adaptability of innate motor patterns and motor control mechanisms , 1986, Behavioral and Brain Sciences.
[58] Christopher G. Atkeson,et al. Robot trajectory learning through practice , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.
[59] Marc H. Raibert,et al. Legged Robots That Balance , 1986, IEEE Expert.
[60] Katsuhisa Furuta,et al. Iterative generation of optimal input of a manipulator , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.
[61] Luca Maria Gambardella,et al. Learning of movements in robotic manipulators , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.
[62] E. G. Harokopos. Optimal learning control of mechanical manipulators in repetitive motions , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.
[63] Geoffrey E. Hinton. Learning in massively parallel nets , 1986, AAAI 1986.
[64] Daniel E. Whitney,et al. Industrial Robot Forward Calibration Method and Results , 1986 .
[65] Michael Kuperstein,et al. Adaptive visual-motor coordination in multijoint robots using parallel architecture , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.
[66] Pradeep K. Khosla,et al. Estimation of Robot Dynamics Parameters: Theory and Application , 1987 .
[67] C. Koch,et al. The analysis of visual motion: from computational theory to neuronal mechanisms. , 1986, Annual review of neuroscience.
[68] Filson H. Glanz,et al. Application of a General Learning Algorithm to the Control of Robotic Manipulators , 1987 .
[69] J. Adams. Historical review and appraisal of research on the learning, retention, and transfer of human motor skills. , 1987 .
[70] W. Thomas Miller,et al. A Nonlinear Learning Controller for Robotic Manipulators , 1987, Other Conferences.
[71] E. Bizzi,et al. Controlling multijoint motor behavior. , 1987, Exercise and sport sciences reviews.
[72] E I Knudsen,et al. Computational maps in the brain. , 1987, Annual review of neuroscience.
[73] Christopher G. Atkeson,et al. Model-Based Control of a Robot Manipulator , 1988 .
[74] Christopher G. Atkeson,et al. Experimental evaluation of feedforward and computed torque control , 1989, IEEE Trans. Robotics Autom..