Neural networks for control
Fuzzy drive control of an autonomous mobile robot
Fuzzy Sets and Systems - Special issue on applications of fuzzy systems theory, Iizuka '88
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Creating advice-taking reinforcement learners
Machine Learning - Special issue on reinforcement learning
Fuzzy Logic and Intelligent Systems
Fuzzy Logic and Intelligent Systems
Online-learning and Attention-based Approach to Obstacle Avoidance Using a Range Finder
Journal of Intelligent and Robotic Systems
The stable and precise motion control for multiple mobile robots
Applied Soft Computing
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In this paper, a neuro-fuzzy technique has been used to steer a mobile robot. The neuro-fuzzy approach provides a good way to capture the information given by a human. In this manner, it has been possible to obtain the rules and membership functions automatically whereas a fuzzy approach needs to make a prior definition of the rules and membership functions. In order to apply the neuro-fuzzy strategy, two mobile robots have been developed. However, in this paper only the smallest one has been considered. Similar results are obtained for the biggest one. The results of the approach are satisfactory, avoiding the obstacles when the mobile robot is steered to the target.