DocumentCode :
2832810
Title :
Multi-robot avoidance based on co-evolution computation
Author :
Min, Huaqing ; Zheng, XiJing ; Lu, Yansheng
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou
fYear :
2005
fDate :
16-16 Nov. 2005
Lastpage :
692
Abstract :
The main attack strategy in an intense robotic soccer match is for an attack robot (AR) to avoid the competing side´s threat and to avoid the most threatening defensive robot of the opponent to reach the objective and to effectively initiate an attack with the help of the cooperation robot (CR). This paper defines an attacking model and a cooperative model and their algorithms. Two co-evolution computation (CEC) populations of robot are also designed: one is denoted as AR subset, the other CR subset. Based on this definition, the paper proposes a new multiple robots avoidance based on CEC method (or MRACEC for short). A theoretical analysis indicates that the MRACEC method has better robustness and optimizing ability
Keywords :
collision avoidance; mobile robots; multi-robot systems; attack robot; coevolution computation; cooperation robot; multirobot avoidance; robotic soccer match; Algorithm design and analysis; Artificial intelligence; Chromium; Computer science; History; Intelligent robots; Optimization methods; Robot kinematics; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1082-3409
Print_ISBN :
0-7695-2488-5
Type :
conf
DOI :
10.1109/ICTAI.2005.88
Filename :
1563019
Link To Document :
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