Evolving Brain Structures for Robot Control

Authors:
Frank Pasemann;Uli Steinmetz;Martin Hülse;Bruno Lara
Affiliations:
-;-;-;-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Bio-inspired Applications of Connectionism-Part II
Year:
2001

Citing 3
Cited 2

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Abstract

To study the relevance of recurrent neural network structures for the behavior of autonomous agents a series of experiments with miniature robots is performed. A special evolutionary algorithm is used to generate netw orks of different sizes and architectures. Solutions for obstacle a voidance and phototropic behavior are presented. Netw orks are evolved with the help of simulated robots, and the results are validated with the use of physical robots.