DocumentCode
1862990
Title
The Global Trajectory Programming of Robot Based on Adaptive Ant Colony Algorithm
Author
Yuanhang Peng ; Zhihua Wang ; Jia Jin ; Pengyu Huang ; Wei Lu
Author_Institution
Dept. of Autom. & Electron. Inf., Chongqing Univ. of Technol., Chongqing, China
Volume
1
fYear
2013
fDate
26-27 Aug. 2013
Firstpage
108
Lastpage
111
Abstract
To trajectory programming, then bring about the high intelligent requirements according to the planned path for trajectory tracking. The static circumstance trajectory programming Based on grid circumstance model has been researched and analyzed. The ant-colony algorithm, which has been analyzed and proved to be effective by the simulation result, has been advanced.
Keywords
mobile robots; optimisation; path planning; trajectory control; adaptive ant colony algorithm; global trajectory programming; grid circumstance model; intelligent requirements; planned path; robot; static circumstance trajectory programming; trajectory tracking; Algorithm design and analysis; Analytical models; Convergence; Mathematical model; Programming; Robots; Trajectory; ant-cycle model of ant-colony algorithm; global trajectory programming; grid method; wheeled mobile robot;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-0-7695-5011-4
Type
conf
DOI
10.1109/IHMSC.2013.33
Filename
6643845
Link To Document