Evolution of a world model for a miniature robot using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Nordin:1998:RAS,
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author = "Peter Nordin and Wolfgang Banzhaf and
Markus Brameier",
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title = "Evolution of a world model for a miniature robot using
genetic programming",
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journal = "Robotics and Autonomous Systems",
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volume = "25",
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pages = "105--116",
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year = "1998",
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number = "1-2",
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month = "31 " # oct,
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keywords = "genetic algorithms, genetic programming, mobile robot,
Evolutionary robotics, World model, On-line learning,
Planning",
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ISSN = "0921-8890",
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URL = "http://citeseer.ist.psu.edu/cache/papers/cs/598/http:zSzzSzls11-www.informatik.uni-dortmund.dezSzpeoplezSzbanzhafzSzrobot32.pdf/nordin98evolution.pdf",
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URL = "http://citeseer.ist.psu.edu/nordin98evolution.html",
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broken = "http://www.sciencedirect.com/science/article/B6V16-3VSPF6D-7/1/883b0d9e78af0fc4f70e997adb715e89",
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DOI = "doi:10.1016/S0921-8890(98)00004-9",
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size = "12 page",
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abstract = "We have used an automatic programming method called
genetic programming (GP) for control of a miniature
robot. Our earlier work on real-time learning suffered
from the drawback of the learning time being limited by
the response dynamics of the robot's environment. In
order to overcome this problem we have devised a new
technique which allows learning from past experiences
that are stored in memory. The new method shows its
advantage when perfect behavior emerges in experiments
quickly and reliably. It is tested on two control
tasks, obstacle avoiding and wall following behavior,
both in simulation and on the real robot platform
Khepera.",
- }
Genetic Programming entries for
Peter Nordin
Wolfgang Banzhaf
Markus Brameier
Citations