Abstract | ||
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Abstract. The success of CS Freiburg at RoboCup 2000 can be attributed to an effective cooperation between players based on sophisticated soccer skills and a robust and accurate self-localization method. In this pape r, we present our multiagent coordination approach for both, action and perceptio n, and our rich set of basic skills which allow to respond to a large range of situat ions in an appropriate way. Furthermore our action selection method,based on an extension to behavior networks is described. Results including statistics from C S Freiburg final games at RoboCup 2000 are presented. |
Year | DOI | Venue |
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2000 | 10.1007/3-540-45324-5_4 | RoboCup |
Keywords | Field | DocType |
right thing,large range,cs freiburg,multiagent coordination approach,behavior network,rich set,effective cooperation,action selection method,cs freiburg final game,basic skill,accurate self-localization method,action selection | Basic skills,Football,Computer science,Simulation,Artificial intelligence,Action selection,Perception,Robotics,Statistical analysis | Conference |
ISBN | Citations | PageRank |
3-540-42185-8 | 19 | 1.65 |
References | Authors | |
11 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thilo Weigel | 1 | 178 | 21.39 |
Willi Auerbach | 2 | 19 | 1.65 |
Markus Dietl | 3 | 110 | 9.46 |
Burkhard Dümler | 4 | 19 | 1.65 |
Jens-Steffen Gutmann | 5 | 657 | 76.64 |
Kornél Markó | 6 | 103 | 10.17 |
Klaus Müller | 7 | 25 | 3.42 |
Bernhard Nebel | 8 | 4019 | 565.71 |
Boris Szerbakowski | 9 | 26 | 2.48 |
Maximilian Thiel | 10 | 19 | 1.65 |