多传感器信息融合技术在机器人导航中的应用研究  

Application research of multi-sensor information fusion technology in robot navigation

作　　者：王晶晶 WANG Jingjing(Wuhan Institute of Shipbuilding Technology,Wuhan 430050,China)

机构地区：[1]武汉船舶职业技术学院

出　　处：《电声技术》2019年第11期23-24,50,共3页Audio Engineering

基　　金：湖北省教育厅科学技术研究计划指导性项目(B2018273)

摘　　要：机器人是现代科技产品,在机器人的设计与生产、应用中,追求的是智能化与自动化,以人工智能为主的智能机器人在当前的普及率上越来越高,而机器人导航是机器人神经网络所发出的指令,在机器人的神经网络中需要分布有多种传感器。所以多传感器信息融合技术是十分重要的,其能够以多种信息的融合为机器人导航提供更好的信息基础,提高机器人导航的准确性。Robots are modern scientific and technological products. In the design,production and application of robots,they are pursuing intelligence and automation. At present,the penetration rate of intelligent robots mainly based on artificial intelligence is getting higher and higher. However,robot navigation is an instruction issued by the robot neural network,and a variety of sensors need to be distributed in the neural network of the robot. Therefore,multi-sensor information fusion technology is very important. It can provide better information basis for robot navigation based on the fusion of various information and improve the accuracy of robot navigation.

关 键 词：多传感器信息融合技术 智能机器人 导航 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]