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Hierarchical growing neural gas for information structured space

Masashi Satomi, Hiroyuki Masuta, Naoyuki Kubota

Year
2009
Citations
29

Abstract

In this paper, we discuss a robot vision in order to perceive people and the environment around a mobile robot. We developed a tele-operated mobile robot with a pan-tilt mechanism composed of a camera and a laser range finder (LRF). In this paper, we propose a method for sensor fusion to extract a human from the measured data by integrating these outputs based on the concept of synthesis. Next, we propose a method of hierarchical neural network based on Growing neural gas to construct a 3D environmental relation. Finally, we show experimental results of the proposed method.

Keywords

Mobile robotComputer scienceArtificial intelligenceArtificial neural networkRelation (database)Construct (python library)RobotComputer visionTilt (camera)Neural gas

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