Evolving a Vision-Driven Robot Controller for Real-World Indoor Navigation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{conf/evoW/GajdaK08,

• title = "Evolving a Vision-Driven Robot Controller for Real-World Indoor Navigation",
• author = "Pawel Gajda and Krzysztof Krawiec",
• bibdate = "2008-04-15",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/evoW/evoW2008.html#GajdaK08",
• booktitle = "Proceedings of Evo{COMNET}, Evo{FIN}, Evo{HOT}, Evo{IASP}, Evo{MUSART}, Evo{NUM}, Evo{STOC}, and EvoTransLog, Applications of Evolutionary Computing, EvoWorkshops",
• publisher = "Springer",
• year = "2008",
• volume = "4974",
• 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",
• isbn13 = "978-3-540-78760-0",
• pages = "184--193",
• series = "Lecture Notes in Computer Science",
• DOI = "doi:10.1007/978-3-540-78761-7_19",
• address = "Naples",
• month = "26-28 " # mar,
• keywords = "genetic algorithms, genetic programming",
• 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