DocumentCode
669557
Title
Path planning of wheel loader type robot for scooping and loading operation by genetic algorithm
Author
Takei, Tatsuya ; Ichikawa, Kazuhisa ; Okawa, Kazuya ; Sarata, Shigeru ; Tsubouchi, T. ; Torige, Akira
Author_Institution
Dept. of Syst. Design Eng., Seikei Univ., Musashino, Japan
fYear
2013
fDate
20-23 Oct. 2013
Firstpage
1494
Lastpage
1499
Abstract
There is a demand of mining automation by heavy equipment in an open mine. Authors aim to automization of motion for wheel loader in scooping and loading operation. In this paper, we applied the optimization method by Genetic Algorithm to the path planning for the wheel loader on scooping and loading operation. We showed the quasi-optimized path and demonstrated by the miniature wheel loader robot.
Keywords
genetic algorithms; industrial robots; mining equipment; mining industry; mobile robots; motion control; path planning; genetic algorithm; heavy equipment; loading operation; miniature wheel loader type robot; mining automation; motion automization; open mine; optimization method; path planning; scooping operation; Biological cells; Load modeling; Mobile robots;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location
Gwangju
ISSN
2093-7121
Print_ISBN
978-89-93215-05-2
Type
conf
DOI
10.1109/ICCAS.2013.6704123
Filename
6704123
Link To Document