Neurofuzzy Learning of Mobile Robot Behaviours
AI '99 Proceedings of the 12th Australian Joint Conference on Artificial Intelligence: Advanced Topics in Artificial Intelligence
Mobile Robotics Planning Using Abstract Markov Decision Processes
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
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This article presents a new method to design, in two levels, fuzzy controller for reactive navigation of a mobile robot in a structured unknown environment. At the first level, adjacent sensors are grouped in areas and are used to define local behaviors. These local behaviors are then gathered at the second level in order to define a global behavior. Two experiments with different local behaviors and different mechanism of integration are presented on our Nomad200 mobile robot.