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Generative Representations for the Automated Design of Modular Physical RobotsWe will begin with a brief background of evolutionary robotics and related work, and demonstrate the scaling problem with our own prior results. Next we propose the use of an evolved generative representation as opposed to a non-generative representation. We describe this representation in detail as well as the evolutionary process that uses it. We then compare progress of evolved robots with and without the use of the grammar, and quantify the obtained advantage. Working two- dimensional and three-dimensional physical robots produced by the system are shown.
Document ID
20030107313
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Hornby, Gregory S.
(NASA Ames Research Center Moffett Field, CA, United States)
Lipson, Hod
(Cornell Univ. Ithaca, NY, United States)
Pollack, Jordan B.
(Brandeis Univ. Waltham, MA, United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2003
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Meeting Information
Meeting: IEEE Conference on Robotics and Automation
Country: Unknown
Start Date: January 1, 2001
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: DASG60-99-1-0004
Distribution Limits
Public
Copyright
Public Use Permitted.
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