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Abstract: this paper, an automatic synthesis methodology based on evolutionary computation is applied to evolve neural controllers for a homogeneous team of miniature autonomous mobile robots. Both feed-forward and recurrent neural networks can be evolved with fixed or variable network topologies. The e#cacy of the evolutionary methodology is demonstrated in the framework of a realistic case study on collective robotic inspection of regular structures, where the robots are only equipped with limited... (Update)
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BibTeX entry: (Update)
@misc{ zhang-evolving,
author = "Yizhen Zhang and Erik K. Antonsson and Alcherio Martinoli",
title = "Evolving Neural Controllers for Collective Robotic Inspection",
url = "citeseer.ist.psu.edu/zhang04evolving.html" }
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