Evolving a Vision-Driven Robot Controller for Real-World Indoor Navigation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{conf/evoW/GajdaK08,
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title = "Evolving a Vision-Driven Robot Controller for
Real-World Indoor Navigation",
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author = "Pawel Gajda and Krzysztof Krawiec",
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bibdate = "2008-04-15",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/evoW/evoW2008.html#GajdaK08",
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booktitle = "Proceedings of Evo{COMNET}, Evo{FIN}, Evo{HOT},
Evo{IASP}, Evo{MUSART}, Evo{NUM}, Evo{STOC}, and
EvoTransLog, Applications of Evolutionary Computing,
EvoWorkshops",
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publisher = "Springer",
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year = "2008",
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volume = "4974",
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editor = "Mario Giacobini and Anthony Brabazon and
Stefano Cagnoni and Gianni {Di Caro} and Rolf Drechsler and
Anik{\'o} Ek{\'a}rt and Anna Esparcia-Alc{\'a}zar and
Muddassar Farooq and Andreas Fink and Jon McCormack and
Michael O'Neill and Juan Romero and Franz Rothlauf and
Giovanni Squillero and Sima Uyar and Shengxiang Yang",
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isbn13 = "978-3-540-78760-0",
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pages = "184--193",
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series = "Lecture Notes in Computer Science",
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DOI = "doi:10.1007/978-3-540-78761-7_19",
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address = "Naples",
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month = "26-28 " # mar,
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keywords = "genetic algorithms, genetic programming",
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abstract = "In this paper, we use genetic programming (GP) to
evolve a vision-driven robot controller capable of
navigating in a real-world environment. To this aim, we
extract visual primitives from the video stream
provided by a camera mounted on the robot and let them
to be interpreted by a GP individual. The response of
GP expressions is then used to control robot's servos.
Thanks to the primitive-based approach, evolutionary
process is less constrained in the process of
synthesising image features. Experiments concerning
navigation in indoor environment indicate that the
evolved controller performs quite well despite very
limited human intervention in the design phase.",
- }
Genetic Programming entries for
Pawel Gajda
Krzysztof Krawiec
Citations