Automatic Running Planning for Omni-Directional Mobile Robot By Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{WSEAS_466-157_Chen,
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author = "Peng Chen and Shinji Koyama and
Shinichiro Mitutake and Takashi Isoda",
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title = "Automatic Running Planning for Omni-Directional Mobile
Robot By Genetic Programming",
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year = "2003",
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month = aug # "~11-13",
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pages = "5",
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booktitle = "WSEAS SEPAD-AIKED-ISPRA-EHAC",
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editor = "Nikos Mastorakis",
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address = "Rethymno, Greece",
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organisation = "The World Scientific and Engineering Academy and
Society (WSEAS)",
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keywords = "genetic algorithms, genetic programming, off-road
running, omni-directional mobile robot, crawler-roller
running system, obstacle, running planning",
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URL = "http://www.wseas.us/e-library/conferences/digest2003/papers/digest.htm",
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URL = "http://www.wseas.us/e-library/conferences/digest2003/papers/466-157.pdf",
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size = "5 pages",
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abstract = "This paper presents a omni-directional mobile robot
which can run on off-road and run over a obstacle. The
robot equipped with crawler-roller running system. The
motion analysis is also discussed to realise the
autonomic off-road running. In order to automatically
control the robot to run in optional direction and an
orbit. We have to decide the inputting volts of the
motors according to given direction or orbit. Even
though we can do this by analysis theory, it is
difficult to control the robot in real time. So we
propose an intelligent control method using Genetic
Programming (GP) to search an optimum route leading the
robot to given destination and avoiding obstacles. We
have carried out many practical running tests and
simulations to verify the efficiency of the mechanism
and the intelligent control method. In this paper we
show an example of the tests.",
- }
Genetic Programming entries for
Peng Chen
Shinji Koyama
Shinichiro Mitutake
Takashi Isoda
Citations