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Conference on Biomimetic and Biohybrid Systems

Living Machines 2015: Biomimetic and Biohybrid Systems pp 293–303Cite as

Crowdseeding: A Novel Approach for Designing Bioinspired Machines

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9222))

Abstract

Crowdsourcing is a popular technique for distributing tasks to a group of anonymous workers over the web. Similarly, crowdseeding is any mechanism that extracts knowledge from the crowd, and then uses that knowledge to guide an automated process. Here we demonstrate a method that automatically distills features from a set of robot body plans designed by the crowd, and then uses those features to guide the automated design of robot body plans and controllers. This approach outperforms past work in which one feature was detected and distilled manually. This provides evidence that the crowd collectively possesses intuitions about the biomechanical advantages of certain body plans; we hypothesize that these intuitions derive from their experiences with biological organisms.

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Authors and Affiliations

  1. Computer Science Department, University of Vermont, Burlington, VT, USA

    Mark D. Wagy & Josh C. Bongard

Authors
  1. Mark D. Wagy
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  2. Josh C. Bongard
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Corresponding author

Correspondence to Mark D. Wagy .

Editor information

Editors and Affiliations

  1. University of Sheffield, Sheffield, United Kingdom

    Stuart P. Wilson

  2. Catalan Institution for Research and Advanced Studies, Universitat Pompeu Fabra, Barcelona, Spain

    Paul F.M.J. Verschure

  3. Universitat Pompeu Fabra, Barcelona, Spain

    Anna Mura

  4. University of Sheffield, Sheffield, United Kingdom

    Tony J. Prescott

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Wagy, M.D., Bongard, J.C. (2015). Crowdseeding: A Novel Approach for Designing Bioinspired Machines. In: Wilson, S., Verschure, P., Mura, A., Prescott, T. (eds) Biomimetic and Biohybrid Systems. Living Machines 2015. Lecture Notes in Computer Science(), vol 9222. Springer, Cham. https://doi.org/10.1007/978-3-319-22979-9_29

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  • DOI: https://doi.org/10.1007/978-3-319-22979-9_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-22978-2

  • Online ISBN: 978-3-319-22979-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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