Embedding Intelligence Into a Mobile Robot

Abstract

The paper presents the results obtained within the development of an autonomously operating walking robot. It is supposed that no user interaction and/or assistance are available. Therefore, the robot must rely on its own abilities. It learns from the sensed and subsequently fused information and adapts its behaviour accordingly. In particular, a way of how the robot learns to track an object by teaching a neural network is described.