Institute of Robotics and Cybernetics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Slovakia
Ladislav Cíferský
Institute of Informatics and Mathematics s, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Slovakia
Milan Hvozdík
Institute of Informatics and Mathematics s, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology in Bratislava, Slovakia
We present a neuro-evolution design for control of a mobile robot in 2D simulation environment. The mobile robot is moving in unknown environment with obstacles from the start position to the goal position. The trajectory of the robot is controlled by a neural network – based controller which inputs are information from several laser beam sensors. The learning of the neural network controller is based on an evolutionary approach, which is provided by genetic algorithm.