LOCOMOTION
Learning self-localization with teaching system
Takeshi Fukase, H. Yuasa, Tamio Arai
- Year
- 2002
- Citations
- 4
Abstract
Learning approach is effective to design a agent that takes action autonomously. We propose to adopt teaching approach to design autonomous agents for RoboCup soccer tasks. Our teaching system consists of the ceiling CCD camera, SONY legged robots, and a PC for the teaching terminal. As a first step of the teaching process, we realized the self-localization of the robot using BP algorithm of feed forward neural networks.
Keywords
Computer scienceRobotArtificial intelligenceProcess (computing)Ceiling (cloud)Autonomous learningAction (physics)Artificial neural networkMobile robotHuman–computer interaction
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