Obstacle avoidance for a mobile robot: A neuro-fuzzy approach
A neuro-fuzzy approach method is suggested to guide a mobile robot that uses certain given trajectories for avoiding different obstacles. After a training phase of a three-layer neural network, a fuzzy controller is determined for guiding the robot towards the target. Some simulation and test results are reported.
scientific article; zbMATH DE number 1743098