GA-Based Search for Paths with Minimum Energy Consumption for Mobile Robot Systems

Authors:
Marcus Gemeinder;Michael Gerke
Affiliations:
-;-
Venue:
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Year:
2001

Citing 2
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Adaptive evolutionary planner/navigator for mobile robots

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Abstract

A GA based path planning software for mobile robot systems focusing on energy consumption is presented. One special feature of this software is the consideration of changing textures - and therefore changing energy requirements when moving - within given environments. Problem specific genetic operators are introduced, and especially the handling of exceptional situations is described in detail.