Evolution of Generative Design Systems for Modular Physical Robots

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Hornby:2001:ICRA,
  author =       "Gregory S. Hornby and Hod Lipson and 
                 Jordan B. Pollack",
  title =        "Evolution of Generative Design Systems for Modular
                 Physical Robots",
  booktitle =    "IEEE International Conference on Robotics and
                 Automation",
  year =         "2001",
  keywords =     "genetic algorithms, genetic programming, L-systems,
                 generative encoding, design, robotics, P0L",
  URL =          "http://www.demo.cs.brandeis.edu/papers/hornby_icra01.pdf",
  URL =          "http://www.demo.cs.brandeis.edu/papers/hornby_icra01.ps",
  size =         "6 pages",
  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.",
  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

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