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
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