@inbook{6ee7914281cd472e9ba62e2265df60fe,
title = "Optimal path planning for autonomous mobile robot navigation using ant colony optimization and a fuzzy cost function evaluation",
abstract = "In this work, a method for finding the optimal path from an initial point to a final one in a previously defined static search map is presented, based on Ant Colony Optimization Meta-Heuristic (ACO-MH). The proposed algorithm supports the avoidance of dynamic obstacles; that is, once the optimal path is found and the robot starts navigating, if the robot's route is interrupted by a new obstacle that was sensed at time t, it will recalculate an alternative optimal path from the actual robot position in order to surround this blocking object and reach the goal.",
keywords = "Ant Colony Optimization, Autonomous Mobile Robot Navigation, Fuzzy logic, Path planning",
author = "{Porta Garc{\'i}a}, {M. A.} and Oscar Montiel and Oscar Castillo and Roberto Sep{\'u}lveda",
year = "2007",
doi = "10.1007/978-3-540-72432-2_79",
language = "Ingl{\'e}s",
isbn = "9783540724315",
series = "Advances in Soft Computing",
pages = "790--798",
editor = "Patricia Melin and {Gomez Ramirez}, Eduardo and Janusz Kacprzyk and Witold Pedrycz",
booktitle = "Analysis and Design of Intelligent Systems using Soft Computing Techniques",
}