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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41715

Title: Optimal Path Planning for Mobile Robot Navigation
Authors: Gene Eu Jan;Ki-Yin Chang;and Ian Parberry
Contributors: 國立臺灣海洋大學:商船學系
Keywords: Ant Colony Optimization;Autonomous Mobile Robot Navigation;Fuzzy Logic;Path Planning
Date: 2007
Issue Date: 2017-03-20T08:33:38Z
Publisher: IEEE/ASME Transactions on Mechatronics
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.
Relation: 41(4) pp.790-798
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/41715
Appears in Collections:[商船學系] 期刊論文

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