A target following agent for the mobile robot navigation in indoor environments

In this paper we present an implementation of an efficient agent which allows an autonomous mobile robot to follow a target. The agent is based on a neural network for the target position identification. The behavior of the robot was tested in an indoor environment of type "hall" using the simulation program SMASIM.