Name
Abstract | ||
|---|---|---|
In this paper we use an evolutionary algorithm to evolve paths using robot velocity profiles from an initial configuration to a configuration behind the ball. Physical conditions for wheel lift are incorporated as well as forward and reverse motion of the robot. A fuzzy clustering technique is used to build the fuzzy control knowledge base from optimised paths found for a large grid of initial configurations. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/CIRA.2003.1222272 | CIRA |
Keywords | Field | DocType |
evolutionary computation,fuzzy control,mobile robots,path planning,position control,robot kinematics,evolutionary algorithm,evolved paths,fuzzy clustering technique,fuzzy control knowledge base,initial configuration,optimised paths,robot forward motion,robot reverse motion,robot soccer control,robot velocity profiles,robots kinematics,wheel lift | Motion planning,Fuzzy clustering,Robot control,Robot calibration,Control theory,Computer science,Simulation,Robot kinematics,Fuzzy control system,Robot,Mobile robot | Conference |
Volume | Citations | PageRank |
2 | 1 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter J. Thomas | 1 | 133 | 41.24 |
| Russel J. Stonier | 2 | 26 | 6.05 |