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dc.contributor.convenorPrahlad Vadakkepat
dc.contributor.authorDeshpande, Suhrud
dc.contributor.authorBlumenstein, Michael
dc.contributor.authorVerma, Brijesh
dc.contributor.editorPrahlad Vadakkepat, Tan Woel Wan, Tan Kay Chen, Loh Ai Poh
dc.description.abstractComputational intelligence techniques such as fuzzy logic and neural networks have been recently successful in enabling robots to cope with complex tasks, such as navigation in difficult environments. This paper proposes an intelligent navigation approach for mobile robots based on fuzzy logic in conjunction with heuristic rules. The Fuzzy-Heuristic approach attempts to tackle complicated situations such as two or more obstacles trapping the robot during navigation. Furthermore, the success of the approach is evaluated measuring the effect of the heuristic rules on robot navigation in a simulated environment for various scenarios. Simulation experiments show that the heuristic unit can improve robot navigation performance in difficult situations.
dc.publisherCentre for Intelligent Control, National University of Singapore
dc.relation.ispartofconferencenameInternational Conference on Computational Intelligence, Robotics and Autonomous Systems
dc.relation.ispartofconferencetitleThe Second International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS 2003)
dc.titleFuzzy-Heuristic Robot Navigation in a Simulated Environment
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.hasfulltextNo Full Text
gro.griffith.authorBlumenstein, Michael M.
gro.griffith.authorVerma, Brijesh K.
gro.griffith.authorDeshpande, Suhrud K.

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    Contains papers delivered by Griffith authors at national and international conferences.

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