Trajectory formation for imitation with nonlinear dynamical systems
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[1] F. Delcomyn. Neural basis of rhythmic behavior in animals. , 1980, Science.
[2] Daniel Bullock,et al. Chapter 11 Vite and Flete: Neural Modules for Trajectory Formation and Postural Control , 1989 .
[3] Haim Sompolinsky,et al. Associative network models for central pattern generators , 1989 .
[4] S. Wolf,et al. Forced use of hemiplegic upper extremities to reverse the effect of learned nonuse among chronic stroke and head-injured patients , 1989, Experimental Neurology.
[5] F. A. Mussa-lvaldi,et al. Convergent force fields organized in the frog's spinal cord , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[6] Robert A. Jacobs,et al. Hierarchical Mixtures of Experts and the EM Algorithm , 1993, Neural Computation.
[7] S. Schaal,et al. A Kendama Learning Robot Based on Bi-directional Theory , 1996, Neural Networks.
[8] Mitsuo Kawato,et al. TRAJECTORY FORMATION IN ARM MOVEMENTS: MINIMIZATION PRINCIPLES AND PROCEDURES , 1996 .
[9] Ferdinando A. Mussa-Ivaldi,et al. Nonlinear force fields: a distributed system of control primitives for representing and learning movements , 1997, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'.
[10] Christopher G. Atkeson,et al. Constructive Incremental Learning from Only Local Information , 1998, Neural Computation.
[11] S. Schaal,et al. Programmable Pattern Generators , 1998 .
[12] Perry Y. Li,et al. Passive velocity field control of mechanical manipulators , 1995, IEEE Trans. Robotics Autom..
[13] Joshua G. Hale,et al. Using Humanoid Robots to Study Human Behavior , 2000, IEEE Intell. Syst..
[14] Shinya Kotosaka,et al. Submitted to: IEEE International Conference on Humanoid Robotics Nonlinear Dynamical Systems as Movement Primitives , 2022 .