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
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;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2013 13th International Conference on
Conference_Location :
Gwangju
Print_ISBN :
978-89-93215-05-2
DOI :
10.1109/ICCAS.2013.6704123
