Controle com lógica Fuzzy e Neurofuzzy aplicada à análise e programação de robôs móveis com visualização e simulação 3D / Fuzzy and Neurofuzzy controls applied to analise and programming mobile robots with 3D visualization and simulation
AUTOR(ES)
Felipe Sertã Abicalil
DATA DE PUBLICAÇÃO
2007
RESUMO
This work has as objective the study of an area of the robotics named mobile robotics. A mobile robot must navigate in a safe way and this is the main motivation of this work. To do that a mobile robotics simulator with 3D visualization was developed. One of the great interests in mobile robotics is using artificial intelligence algorithms. The main point of this work is using and simulate artificial intelligence applied in obstacle avoidance control. The simulations are dynamics it means that the robot do not have previous information about the scenery. The artificial intelligence algorithms developed in this work are Fuzzy and Neurofuzzy logics. The simulator contributions are that the simulation and 3D visualization where the scenery is a 3D model from a CAD/3D software besides allows to test many configurations before testing the real robot and simulates noise from sensors and uses fuzzy and neurofuzzy logics to obstacle avoidance. The results show the fuzzy system capability to deal with the noisy data from sensors and how fuzzy variables influences the mobile robot behavior in obstacle avoidance besides the ability of neurofuzzy system to learn from training data showing improvements in the simulation results.
ASSUNTO(S)
3d imaging visualização 3d artificial intelligence robotics mobile robotics robótica móvel lógica neurofuzzy fuzzy logic inteligência artificial neurofuzzy logic robótica lógica difusa matematica aplicada imagem tridimensional lógica fuzzy 3d visualization
