A study on multiple information fusion technology in obstacle avoidance of robots

Abstract

On the basis of previous rationales of multiple information fusion, this article suggests the process of information fusion on the basis of intelligence technologies of artificial neural network by adopting human-simulating intelligence algorithm. It is verified that a better fusion effect may be achieved. In consideration of actual conditions of laboratory, we performed fusion of information collected by the multiple sensors of intelligent mobile robot, and apply the human-simulating multiple information fusion method in the obstacle avoidance experiment of intelligent mobile robot. We compared the new test results with that of traditional logical judgment-based obstacle avoidance, summed up the advantages of human-simulating multiple information fusion method in mobile robot obstacle avoidance, depicted the traveling path of robot by picture and indicated apparent obstacle avoidance effect.