Research on Vision-Action Model of Autonomous Robot and Obstacle Avoiding

Abstract

Active obstacle detecting and avoiding for autonomous robot are significant research fields.In the past,the vision system and motor controlling system of the robot have been developed independently.Most people ignored the relationship of these two systems,separated the close coupling,and reduced the ways to obtain more information.Here,a Vision-Action model is developed to describe the relationship between the robot vision and motor action,in which the coupling provides more information resources of the environment.In addition,reinforced learning is used for autonomous robot to avoid the dynamic obstacle based on this Vision-Action model.Our experiments in the method were carried out stably and in real time.