Laser trail shape identification technique for robot navigation based on genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Tsujimura:2012:FedCSIS,
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author = "Takeshi Tsujimura and Hiroki Fukushima and
Yoshihiro Minato and Kiyotaka Izumi",
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booktitle = "Federated Conference on Computer Science and
Information Systems (FedCSIS 2012)",
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title = "Laser trail shape identification technique for robot
navigation based on genetic programming",
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year = "2012",
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month = "9-12 " # sep,
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address = "Poland",
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pages = "161--166",
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keywords = "genetic algorithms, genetic programming, edge
detection",
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isbn13 = "978-1-4673-0708-6",
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URL = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6354313",
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size = "6 pages",
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abstract = "This paper proposes a meta-heuristic image processing
application for mobile robot navigation. It classifies
figures that are drawn on a wall by hand with a laser
pointer. Image processing technique extracts optical
flow of the laser beam trail, which represents vectors
along edges of shapes. Genetic programming learns
geometric characteristics of laser trail shapes and
creates classification algorithm. Three typical
figures, such as a circle, a triangle, and a square,
are evaluated and identified in high accuracy. We have
investigated the effects of genetic programming
parameters on the performance of shape identification.
As a result, proposal system makes it possible to
command robots by easy and intuitive action of drawing
a figure only with a laser pointer.",
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notes = "\cite{Fukushima:2012:SICE}. Also known as
\cite{6354313}",
- }
Genetic Programming entries for
Takeshi Tsujimura
Hiroki Fukushima
Yoshihiro Minato
Kiyotaka Izumi
Citations