文献类型：会议论文

英文题名：A study on multiple information fusion technology in obstacle avoidance of robots

作者：Liu, Dong[1]

通讯作者：Liu, D.

机构：[1] Beijing Union University, Electronic Information Training Base, Beijing, China

第一机构：北京联合大学工科综合实验教学示范中心

会议论文集：2010 2nd Pacific-Asia Conference on Circuits, Communications and System, PACCS 2010

会议日期：1 August 2010 through 2 August 2010

会议地点：Beijing

语种：英文

外文关键词：Backpropagation - Collision avoidance - Information fusion - Mobile robots - Neural networks

摘要：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. ? 2010 IEEE.