Name
Abstract | ||
|---|---|---|
Robot soccer is a challenging platform for multi-agent research, involving topics such as real-time image processing and control, robot path planning, obstacle avoidance and machine learning. The robot soccer game presents an uncertain and dynamic environment for cooperating agents [1] [2]. Dynamic role switching and formation control are crucial for a successful game. The fuzz logic based strategy described in this paper employs an arbiter which assigns a robot to shoot or pass the ball. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/DELTA.2002.994644 | DELTA |
Keywords | Field | DocType |
successful game,robot soccer game,robot soccer,machine learning,formation control,dynamic environment,robot path planning,fuzz logic,challenging platform,dynamic role,robot control,machine vision,process control,obstacle avoidance,collaboration,path planning,multi agent systems,mobile robots,image processing,cost function,fuzzy logic | Robot learning,Obstacle avoidance,Robot control,Social robot,Computer science,Personal robot,Control engineering,Real-time computing,Human–computer interaction,Mobile robot navigation,Robot,Mobile robot | Conference |
ISBN | Citations | PageRank |
0-7695-1453-7 | 11 | 1.07 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| H. L. Sng | 1 | 15 | 1.65 |
| G. Sen Gupta | 2 | 34 | 4.49 |
| C. H. Messom | 3 | 35 | 6.04 |