On possibilities of evolutionary synthesis of robot control sequences
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- @InProceedings{Zelinka:2016:RCAR,
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author = "I. Zelinka",
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booktitle = "2016 IEEE International Conference on Real-time
Computing and Robotics (RCAR)",
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title = "On possibilities of evolutionary synthesis of robot
control sequences",
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year = "2016",
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pages = "332--337",
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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.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/RCAR.2016.7784049",
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month = jun,
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notes = "Also known as \cite{7784049}",
- }
Genetic Programming entries for
Ivan Zelinka
Citations