Mobile robot navigation using reinforcement learning based on neural network with short term memory

Abstract

In this paper we propose a novel bio-inspired model of a mobile robot navigation system. The novelty of our work consists in combining short term memory and online neural network learning using history of events stored in this memory. The neural network is trained with a modified error back propagation algorithm that utilizes reward and punishment principal while interacting with the environment. © 2011 Springer-Verlag.