Title :
Vision-based intelligent forklift Automatic Guided Vehicle (AGV)
Author :
Luyang Li;Yun-Hui Liu;Mu Fang;Zhizeng Zheng;Hengbo Tang
Author_Institution :
Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
Abstract :
This paper develops a new vision-based intelligent forklift Automatic Guided Vehicle (A GV) to perform various transporting tasks in factories and warehouses for improving the quality and efficiency as well as saving the manpower in manufacturing and service industries. Based on a vision-based adaptive localization algorithm with the global pose correction and a visual servo motion controller, the automatic driving function of the A GV can be realized. Experiments conducted in a factory validate performance of the vision-based intelligent forklift A GV.
Keywords :
"Navigation","Production facilities","Cameras","Automation","Wheels","Gyroscopes","Lenses"
Conference_Titel :
Automation Science and Engineering (CASE), 2015 IEEE International Conference on
Electronic_ISBN :
2161-8089
DOI :
10.1109/CoASE.2015.7294072