Obstacle modeling for environment recognition of mobile robots using growing neural gas network

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A major research issue associated with service robots is the creation of an environment recognition system for mobile robot navigation that is robust and efficient on various environment situations. In recent years, intelligent autonomous mobile robots have received much attention as the types of service robots for serving people and industrial robots for replacing human. To help people, robots must be able to sense and recognize three dimensional space where they live or work. In this paper, we propose a three dimensional environmental modeling method based on an edge enhancement technique using a planar fitting method and a neural network technique called
Publisher
Korean Institute of Electrical Engineers
Issue Date
2003-03
Language
English
Citation

International Journal of Control, Automation and Systems, v.1, no.1, pp.134 - 141

ISSN
1598-6446
URI
http://hdl.handle.net/10203/78869
Appears in Collection
ME-Journal Papers(저널논문)
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