DocumentCode :
3419871
Title :
Hierarchical growing neural gas for information structured space
Author :
Satomi, Masashi ; Masuta, Hiroyuki ; Kubota, Naoyuki
Author_Institution :
Dept. of Syst. Design, Tokyo Metropolitan Univ., Hino
fYear :
2009
fDate :
March 30 2009-April 2 2009
Firstpage :
54
Lastpage :
59
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 :
laser ranging; mobile robots; neural nets; robot vision; telerobotics; 3D environmental relation; hierarchical growing neural gas; hierarchical neural network; information structured space; laser range finder; pan-tilt mechanism; robot vision; sensor fusion; teleoperated mobile robot; Cameras; Data mining; Gas lasers; Humans; Laser fusion; Mobile robots; Orbital robotics; Robot sensing systems; Robot vision systems; Sensor fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotic Intelligence in Informationally Structured Space, 2009. RIISS '09. IEEE Workshop on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2753-6
Type :
conf
DOI :
10.1109/RIISS.2009.4937906
Filename :
4937906
Link To Document :
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