Sensor-based behavior using a neural network for incremental learning in family mobile robot system

This paper proposes the way to apply the neural network for incremental learning to store the environmental information which autonomous children robots bring one by one. The parent robot manages the swarm of robots, obtains the information collected by their cooperative sensing, and makes the neural network memorize it. This information is used for path planning, by which the parent robot obtains the environment map when it is moving in an unknown environment. In addition, it is also shown that the parent robot can express the environment in the compact network and move as a result of learning and integrating the information on obstacles