Evolving Real-time Behavior Modules for a real Robot with GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{olmer:1996:ertbm,
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author = "Markus Olmer and Peter Nordin and Wolfgang Banzhaf",
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title = "Evolving Real-time Behavior Modules for a real Robot
with {GP}",
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booktitle = "Proceedings of the 6th international symposium on
robotics and manufacturing, ISRAM-96",
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year = "1996",
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editor = "M. Jamshidi and F. Pin and P. Dauchez",
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pages = "675--680",
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address = "Montpellier, France",
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publisher_address = "New York",
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month = may,
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publisher = "Asme Press",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.cs.mun.ca/~banzhaf/papers/isram96.pdf",
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size = "6 pages",
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abstract = "In this paper we demonstrate an efficient method which
divides a control task into smaller sub--tasks. We use
a Genetic Programming system that first learns the
sub-tasks and then evolves a higher--level action
selection strategy for deciding which of the evolved
lower--level algorithms should be in control. The Swiss
miniature robot Khepera is employed as the experimental
platform. Results are presented which show that the
robot is indeed able to evolve both the control
algorithms for the different lower--level tasks and the
strategy for the selection of tasks. The evolved
solutions also show robust performance even if the
robot is lifted and placed in a completely different
environment or if obstacles are moved around.",
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notes = "ISRAM 96, We have done some experiments combining GP
and a subsumption architecture for robotic control. The
system controlled a Khepera robot learning four
different behaviours.",
- }
Genetic Programming entries for
Markus Olmer
Peter Nordin
Wolfgang Banzhaf
Citations