Automatically Designing Robot Controllers and Sensor Morphology with Genetic Programming

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

@InProceedings{Bonte:2010:AIAI,

• author = "Bert Bonte and Bart Wyns",
• title = "Automatically Designing Robot Controllers and Sensor Morphology with Genetic Programming",
• booktitle = "6th IFIP Advances in Information and Communication Technology AIAI 2010",
• year = "2010",
• editor = "Harris Papadopoulos and Andreas Andreou and Max Bramer",
• volume = "339",
• series = "IFIP Advances in Information and Communication Technology",
• pages = "86--93",
• address = "Larnaca, Cyprus",
• month = oct # " 6-7",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1007/978-3-642-16239-8_14",
• abstract = "Genetic programming provides an automated design strategy to evolve complex controllers based on evolution in nature. In this contribution we use genetic programming to automatically evolve efficient robot controllers for a corridor following task. Based on tests executed in a simulation environment we show that very robust and efficient controllers can be obtained. Also, we stress that it is important to provide sufficiently diverse fitness cases, offering a sound basis for learning more complex behaviour. The evolved controller is successfully applied to real environments as well. Finally, controller and sensor morphology are co-evolved, clearly resulting in an improved sensor configuration.",
• affiliation = "Department of Electrical Energy, Systems and Automation, Ghent University, Technologiepark 913, 9052 Zwijnaarde, Belgium",
• notes = "http://www.cs.ucy.ac.cy/aiai2010/",

}

Genetic Programming entries for Bert Bonte Bart Wyns

Citations