Applying Genetic Programming to Evolve Behavior Primitives and Arbitrators for Mobile Robots
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{lee:1997:aGPebpamr,
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author = "Wei-Po Lee and John Hallam and Henrik Hautop Lund",
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title = "Applying Genetic Programming to Evolve Behavior
Primitives and Arbitrators for Mobile Robots",
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booktitle = "Proceedings of IEEE 4th International Conference on
Evolutionary Computation",
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year = "1997",
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volume = "1",
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pages = "501--506",
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address = "Indianapolis, USA",
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month = "13-16 " # apr,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "0-7803-3949-5",
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URL = "ftp://ftp.daimi.au.dk/pub/stud/hhl/ebbicec97.ps.Z",
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URL = "http://www.dai.ed.ac.uk/pub/daidb/papers/rp832.ps.gz",
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DOI = "doi:10.1109/ICEC.1997.592362",
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URL = "http://citeseer.ist.psu.edu/lee97applying.html",
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size = "6 pages",
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abstract = "The behaviour-based approach has been successfully
applied to designing robot control systems. This paper
presents our work, based on evolutionary algorithms, to
program behavior-based robots automatically. Instead of
hand-coding all the behaviour controllers or evolving
an entire control system for an overall task, we
suggest our approach at the intermediate level: it
includes evolving behaviour primitives and behaviour
arbitrators for a mobile robot to achieve the specified
tasks. To examine the developed approach, we evolve a
control system for a moderately complicated box-pushing
task as an example. We first evolved the controllers in
a simulation and then transferred them to the Khepera
miniature robot. Experimental results show the promise
of our approach, and the evolved controllers are
transferred to the real robot without loss of
performance",
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notes = "Khepera. Division of Informatics, Research Paper #832,
Edinburgh University",
- }
Genetic Programming entries for
Wei-Po Lee
John Hallam
Henrik Hautop Lund
Citations