On possibilities of evolutionary synthesis of robot control sequences

Created by W.Langdon from gp-bibliography.bib Revision:1.7964

@InProceedings{Zelinka:2016:RCAR,

• author = "I. Zelinka",
• booktitle = "2016 IEEE International Conference on Real-time Computing and Robotics (RCAR)",
• title = "On possibilities of evolutionary synthesis of robot control sequences",
• year = "2016",
• pages = "332--337",
• abstract = "In this paper there are introduced, discussed and demonstrated capabilities of bio-inspired algorithms, especially algorithms like genetic programming, analytic programming etc., on evolutionary synthesis of controlling commands for the robot on the test path. Methods proposed and discussed in the paper are explained and demonstrated on the classical text example of the robot-artificial ant on Santa Fe Trail. The Santa Fe Trail problem is one of the most classical exercise from genetic programming. In this problem so called artificial ants search for a pellets of food according to synthesised set of instructions. This set of instructions can be synthesised by specialized evolutionary algorithms, that are discussed here as well as selected examples. At the end possibility of swarm robots control and strategies identification are discussed.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/RCAR.2016.7784049",
• month = jun,
• notes = "Also known as \cite{7784049}",

}

Genetic Programming entries for Ivan Zelinka

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