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Research trends on fuzzy logic controller for mobile robot navigation : a scientometric study

Rani Somiya, Jain Amita, Castillo Oscar

Journal of Automation Mobile Robotics and Intelligent Systems

2020

Vol. 14, No. 1

87--108

The present study shows the scientometric analysis of the publications on the fuzzy logic controller in autonomous mobile robot navigation during the period 2000 to 2018. The data is collected using Web of Science core collection database and analyzed at various levels such as Web of Science categories, publication years, document types, funding agencies, authors, research areas, countries or region, control terms, and organization to evaluate the research patterns. An extensive study is done to find the research trends in this area.

Intelligent Control for a Perturbed Autonomous Wheeled Mobile Robot Using Type-2 Fuzzy Logic and Genetic Algorithms

Martínez R., Castillo O., Aguilar L. T.

Journal of Automation Mobile Robotics and Intelligent Systems

2008

Vol. 2, No. 1

12-22

We describe a tracking controller for the dynamic model of a unicycle mobile robot by integrating a kinematic and a torque controller based on Type-2 Fuzzy Logic Theory and Genetic Algorithms. Computer simulations are presented confirming the performance of the tracking controller and its application to different navigation problems.