DocumentCode :
3110743
Title :
Multi-objective-based configuration generation and optimization for reconfigurable modular robot
Author :
Dong, Bo ; Li, Yuanchun
Author_Institution :
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
fYear :
2011
fDate :
26-28 March 2011
Firstpage :
1006
Lastpage :
1010
Abstract :
A new method for reconfigurable modular robot on configuration auto-generation, optimization and evaluation was proposed in this paper. On the basis of assign and design of the module, a new descriptive method of configuration-CCM was proposed, and it can describe the configuration directly and completely which needed to satisfy the assembly requirement. Genetic-simulated annealing algorithm has been used for multi-objective optimization of configuration in the accessibility and the optimality of joint variables. Through the 3D dynamic simulation of configuration by Robotics Toolbox, the overall optimality was proved.
Keywords :
genetic algorithms; mobile robots; robot dynamics; simulated annealing; 3D dynamic simulation; configuration-CCM; genetic simulated annealing algorithm; multi objective based configuration generation; optimization; reconfigurable modular robot; Accuracy; Annealing; Assembly; Genetic algorithms; Joints; Optimization; Robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
Type :
conf
DOI :
10.1109/ICIST.2011.5765143
Filename :
5765143
Link To Document :
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