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2008 | Vol. 2, No. 1 | 5-11
Tytuł artykułu

An ACO Path Planner Using a FIS for Path Selection Adjusted with a Simple Tuning Algorithm

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Języki publikacji
EN
Abstrakty
EN
This paper presents a path planner application for mobile robots based on Ant Colony Optimization (ACO). The selection of the optimal path relies in the criterion of a Fuzzy Inference System (FIS), which is adjusted using a Simple Tuning Algorithm (STA). The path planner can be executed in Mode I and Mode II. The first mode only works in the virtual environment of the interface, while Mode II embraces the wireless communication with a real robot; once the ACO algorithm finds the best route, the coordinates are sent to a mobile robot via Bluetooth communication; if the robot senses a new obstacle, the computer is notified and does a rerouting routine in order to avoid the obstacle and reach the goal. In other words, the application supports dynamic search spaces.
Wydawca

Rocznik
Strony
5-11
Opis fizyczny
Bibliogr. 21 poz., rys.
Twórcy
autor
Bibliografia
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  • [18] M. Dorigo, T. Stutzle, Ant Colony Optimization, Bradford, Cambridge, Massachusetts, 2004.
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ6-0018-0046
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