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
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;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
DOI :
10.1109/IHMSC.2013.33
