Abstract | ||
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The robot soccer game is full of challenges in the field of robot and artificial intelligence. Strategy is a kernel subsystem of robot soccer game. In this paper, a method to generate offensive strategies based on simulated game is presented. The experiments show that states obtained during the simulated game are suited for new strategies generation and strategies optimization. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/INCoS.2011.96 | INCoS |
Keywords | Field | DocType |
optimisation,strategies optimization,offensive strategies,robot soccer,artificial intelligence,mobile robots,multi-robot systems,control engineering computing,sport,new strategies generation,strategy,offensive strategy,strategies generation,robot soccer game,simulated game,kernel subsystem,robot kinematics,multiagent systems,artificial intelligent,games | Kernel (linear algebra),Computer science,Robot kinematics,Multi-agent system,Artificial intelligence,Robot,Mobile robot,Offensive | Conference |
ISBN | Citations | PageRank |
978-1-4577-1908-0 | 0 | 0.34 |
References | Authors | |
0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jie Wu | 1 | 10 | 4.02 |
Václav Svaton | 2 | 10 | 2.85 |
Jan Martinovic | 3 | 129 | 34.61 |
Eliška Ochodková | 4 | 30 | 7.54 |
Václav Snasel | 5 | 1261 | 210.53 |