TY - JOUR A2 - Saravanan, R. AU - Banjanovic-Mehmedovic, Lejla AU - Golic, Dzenisan AU - Mehmedovic, Fahrudin AU - Havic, Jasna PY - 2012 DA - 2012/12/06 TI - Neural Behavior Chain Learning of Mobile Robot Actions SP - 382782 VL - 2012 AB - This paper presents a visual/motor behavior learning approach, based on neural networks. We propose Behavior Chain Model (BCM) in order to create a way of behavior learning. Our behavior-based system evolution task is a mobile robot detecting a target and driving/acting towards it. First, the mapping relations between the image feature domain of the object and the robot action domain are derived. Second, a multilayer neural network for offline learning of the mapping relations is used. This learning structure through neural network training process represents a connection between the visual perceptions and motor sequence of actions in order to grip a target. Last, using behavior learning through a noticed action chain, we can predict mobile robot behavior for a variety of similar tasks in similar environment. Prediction results suggest that the methodology is adequate and could be recognized as an idea for designing different mobile robot behaviour assistance. SN - 1687-9724 UR - https://doi.org/10.1155/2012/382782 DO - 10.1155/2012/382782 JF - Applied Computational Intelligence and Soft Computing PB - Hindawi Publishing Corporation KW - ER -