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Adaptive Neuro-Fuzzy control of Autonomous Ground Vehicle (AGV) based on Machine Vision
2019
Engineering Research Journal
Development of self-autonomous robot that has the capability to deal with dynamic obstacles as well as static obstacles and keep finding its optimal path represent big challenge to many of the researchers nowadays. Utilization of artificial intelligence (AI) in developing a robust algorithm for nonlinear system was proved in some applications. The present work focus on excessive analysis and investigation of the optimal AI algorithm technique for controlling the path planning of four -wheel
doi:10.21608/erj.2019.122532
fatcat:m6hljq4dpnbc7l24wvdpbvb3q4