Effective Behavioural Dynamic Coupling through Echo State Networks
This work presents a novel approach and paradigm for the coupling of human and robot dynamics with respect to control. We present an adaptive system based on Reservoir Computing and Recurrent Neural Networks able to couple control signals and robotic behaviours. A supervised method is utilised for t...
Main Authors: | Christos Melidis, Davide Marocco |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/7/1300 |
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