LEARNING
Perceptual system and action system of a mobile robot with structured intelligence
Naoyuki Kubota, Hiroyuki Masuta, F. Kojima, Toshio Fukuda
- Year
- 2003
- Citations
- 8
Abstract
Proposes a controlling method of a mobile robot with structured intelligence. Modular neural networks are applied for action control based on a perceiving-acting cycle of ecological psychology. In the proposed method, the perceptual system and action system restrict each other. Next, we conduct several experiments using a mobile robot we developed. The experimental results show the robot can learn actions based on the perceiving-acting cycle. Finally, we discuss the unit of the action using modular neural networks for robotic systems.
Keywords
Modular designComputer sciencePerceptionMobile robotAction (physics)Artificial intelligenceRobotArtificial neural networkHuman–computer interactionRobot control
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