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17

SAB
2010
Springer

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Learning Robot-Environment Interaction Using Echo State Networks

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Learning Robot-Environment Interaction Using Echo State Networks

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Learning robot-environment interaction with echo state networks (ESNs) is presented in this paper. ESNs are asked to bootstrap a robot’s control policy from human teacher’s demonstrations on the robot learner, and to generalize beyond the demonstration dataset. Beneﬁts and problems involved in some navigation tasks are discussed, supported by real-world experiments with a small mobile robot.

Mohamed Oubbati, Bahram Kord, Günther Palm

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Echo State Networks | Optimization | Robot’s Control Policy | SAB 2010 | Small Mobile Robot |

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Added	30 Jan 2011
Updated	30 Jan 2011
Type	Journal
Year	2010
Where	SAB
Authors	Mohamed Oubbati, Bahram Kord, Günther Palm

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