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ESANN
2003

Evolved Neurodynamics for Robot Control

14 years 2 months ago
Evolved Neurodynamics for Robot Control
Small recurrent neural network with two and three neurons are able to control autonomous robots showing obstacle avoidance and photo-tropic behaviors. They have been generated by evolutionary processes, and they demonstrate, how dynamical properties can be used for an effective behavior control. Presented examples also show how sensor fusion can be obtained by evolution. Additional techniques are used to excavate the relevant neural processing mechanisms underlying specific behavior features.
Frank Pasemann, Martin Hülse, Keyan Zahedi
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where ESANN
Authors Frank Pasemann, Martin Hülse, Keyan Zahedi
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