Autonomous vehicle navigation utilizing electrostatic potential fields and fuzzy logicAutonomous vehicle navigation utilizing electrostatic potential fields and fuzzy logic Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2015-10-072001enAn electrostatic potential field (EPF) path planner is combined with a two-layered fuzzy logic inference engine and implemented for real-time mobile robot navigation in a 2-D dynamic environment. The environment is first mapped into a resistor network; an electrostatic potential field is then created through current injection into the network. The path of maximum current through the network corresponds to the approximately optimum path in the environment. The first layer of the fuzzy logic inference engine performs sensor fusion from sensor readings into a fuzzy variable, collision, providing information about possible collisions in four directions, front, back, left and right. The second layer guarantees collision avoidance with dynamic obstacles while following the trajectory generated by the electrostatic potential field. The proposed approach is experimentally tested using the Nomad 200 mobile robot http://creativecommons.org/licenses/by/4.0/IEEE Transactions on Robotics and Automation,417490-497 K. P. Valavanis Tsourveloudis Nikolaos Τσουρβελουδης Νικολαος T. Hebert IEEE Electrostatic potential field Robot programming robots programming robot programming