Evolution of Generative Design Systems for Modular Physical Robots
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Hornby:2001:ICRA,
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author = "Gregory S. Hornby and Hod Lipson and
Jordan B. Pollack",
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title = "Evolution of Generative Design Systems for Modular
Physical Robots",
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booktitle = "IEEE International Conference on Robotics and
Automation",
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year = "2001",
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keywords = "genetic algorithms, genetic programming, L-systems,
generative encoding, design, robotics, P0L",
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URL = "http://www.demo.cs.brandeis.edu/papers/hornby_icra01.pdf",
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URL = "http://www.demo.cs.brandeis.edu/papers/hornby_icra01.ps",
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size = "6 pages",
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abstract = "Recent research has demonstrated the ability for
automatic design of the morphology and control of real
physical robots using techniques inspired by biological
evolution. The main criticism of the evolutionary
design approach, however, is that it is doubtful
whether it will reach the high complexities necessary
for practical engineering. Here we claim that for
automatic design systems to scale in complexity the
designs they produce must be made of re-used modules.
Our approach is based on the use of a generative design
grammar subject to an evolutionary process. Unlike a
direct encoding of a design, a generative design
specification can re-use components, giving it the
ability to create more complex modules from simpler
ones. Re-used modules are also valuable for improved
efficiency in testing and construction. We describe a
system for creating generative specifications capable
of hierarchical modularity by combining Lindenmayer
systems with evolutionary algorithms. Using this system
we demonstrate for the first time a generative system
for physical, modular, 2D locomoting robots and their
controllers.",
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notes = "The project page for this work is at:
http://www.demo.cs.brandeis.edu/pr/evo_design/evo_design.html",
- }
Genetic Programming entries for
Gregory S Hornby
Hod Lipson
Jordan B Pollack
Citations