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Márcio Mendonça
Universidade Tecnológica Federal do Paraná Av. Alberto Carazzai, 1640, Centro, 86.300-000 Cornélio Procópio, PR
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Wagner F. Godoy
Universidade Tecnológica Federal do Paraná Av. Alberto Carazzai, 1640, Centro, 86.300-000 Cornélio Procópio, PR
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Rodrigo H. C. Palácios
Universidade Tecnológica Federal do Paraná Av. Alberto Carazzai, 1640, Centro, 86.300-000 Cornélio Procópio, PR
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Carlos Renato Alves Oliveira
Universidade Tecnológica Federal do Paraná Av. Alberto Carazzai, 1640, Centro, 86.300-000 Cornélio Procópio, PR
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José Augusto Fabri
Universidade Tecnológica Federal do Paraná Av. Alberto Carazzai, 1640, Centro, 86.300-000 Cornélio Procópio, PR
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Emerson Ravazzi
Universidade Tecnológica Federal do Paraná Av. Alberto Carazzai, 1640, Centro, 86.300-000 Cornélio Procópio, PR
Keywords:
Fuzzy Cognitive Maps, Autonomous Navigation Embedded, Intelligent dynamic decision systems
Abstract
The employment and incorporation of new technologies in the agriculture field allows a new mean- ing to productivity and efficiency. Among its various pillars, autonomous robotics promotes improvements in production, through increased safety in the coexistence between robots and humans, in the execution of various activities. This work presents the use of a low cost prototype controlled by two Fuzzy techniques.The proposed model allows representing the dynamic behaviour of a mobile robot in presence of changes in the environment. A Hierarchical Weighted Fuzzy Logic Controller composes the second navigation system. Simulation results are presented allowing a comparison among both systems and showing the ability of the mobile robot to navigate among obstacles in different scenarios (navigation environment).