Learning Trajectory and Force Control of an Artificial Muscle Arm by Parallel-hierarchical Neural Network Model

Katayama, Masazumi, Kawato, Mitsuo

Neural Information Processing Systems 

We propose a new parallel-hierarchical neural network model to enable motor learning for simultaneous control of both trajectory and force.

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