LEARNING
Predicting away the Delay
Sven Behnke, Anna Förster
- Year
- 2003
- Citations
- 5
Abstract
This paper describes a method to reduce the effects of the system immanent delay for the RoboCup small size league. It explains how we solved the task by predicting the movement of our robots using a neural network. We have successfully field-tested the system at several RoboCup competitions with our FU-Fighters team. The predictions improve speed and accuracy of play.
Keywords
Task (project management)Computer scienceLeagueArtificial intelligenceArtificial neural networkMovement (music)RobotMachine learningEngineering
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