Autonomous intelligent systems applied to robot navigation: spatial concept acquisition and object discrimination

In this work, it is proposed an autonomous system capable of constructing its navigation strategy for mobile robots coherently with the acquired environmental knowledge: spatial proximity concept and color patterns associated to each type of object. The autonomous system, based on neural networks, doens’t have innate behaviors of target seeking or obstacle avoidance, but it learns these specific behaviors for each type of object as the robot interacts with the environment. Simulation results are showed and confirm the system’s potenciality, as well as its generalization capacity.