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Robots that can adapt like animals

Author

Listed:
  • Antoine Cully

    (Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR)
    CNRS, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR))

  • Jeff Clune

    (University of Wyoming)

  • Danesh Tarapore

    (Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR)
    CNRS, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR)
    †Present addresses: Department of Electronics, University of York, York YO10 5DD, UK (D.T.); Inria, Villers-lès-Nancy, F-54600, France (J.-B.M.))

  • Jean-Baptiste Mouret

    (Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Paris 06, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR)
    CNRS, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR)
    Inria, Team Larsen
    CNRS, Loria, UMR 7503)

Abstract

An intelligent trial-and-error learning algorithm is presented that allows robots to adapt in minutes to compensate for a wide variety of types of damage.

Suggested Citation

  • Antoine Cully & Jeff Clune & Danesh Tarapore & Jean-Baptiste Mouret, 2015. "Robots that can adapt like animals," Nature, Nature, vol. 521(7553), pages 503-507, May.
    • Handle: RePEc:nat:nature:v:521:y:2015:i:7553:d:10.1038_nature14422
    DOI: 10.1038/nature14422
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    Citations

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    Cited by:

    1. Luca M. Possati, 2020. "Algorithmic unconscious: why psychoanalysis helps in understanding AI," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-13, December.
    2. Pascal Le Masson & Armand Hatchuel & Benoit Weil, 2022. "Solving The Paradox Of Constraints In Creativity: Uncovering The Conditions Of Constraint Generativity With C-K Design Theory," Post-Print hal-03805112, HAL.
    3. Armand Hatchuel & Pascal Le Masson & Maxime Thomas & Benoit Weil, 2021. "What Is Generative In Generative Design Tools? Uncovering Topological Generativity With A C-K Model Of Evolutionary Algorithms," Post-Print hal-03398565, HAL.
    4. Andre Rosendo & Marco von Atzigen & Fumiya Iida, 2017. "The trade-off between morphology and control in the co-optimized design of robots," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-14, October.
    5. Fuda van Diggelen & Nicolas Cambier & Eliseo Ferrante & A. E. Eiben, 2024. "A model-free method to learn multiple skills in parallel on modular robots," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    6. Pascal Le Masson & Armand Hatchuel & Mario Le Glatin & Benoit Weil, 2018. "Designing Decisions In The Unknown: Towards A Generative Decision Model For Management Science," Post-Print hal-01937103, HAL.
    7. Ryoo, Yuhosua & Jeon, Yongwoog Andy & Kim, WooJin, 2024. "The blame shift: Robot service failures hold service firms more accountable," Journal of Business Research, Elsevier, vol. 171(C).
    8. Hu, Shicheng & Zhang, Weijie & Li, Danping & Wu, Bing, 2023. "Incorporating improved directional change and regime change detection to formulate trading strategies in foreign exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 622(C).

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