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Bio-robots step towards brain–body co-adaptation

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In animals, both body and neural control have co-evolved to be adaptable to the environment. While a newborn foal learns quickly how to use its legs, traditional robotic approaches require careful engineering and calibration for stable walking robots. Bio-inspired robotics aims to bridge this gap.

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Fig. 1: Bio-inspired robotics.

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Authors and Affiliations

  1. Department of Biomedical Engineering, University of Southern California, Los Angeles, CA, USA

    Francisco J. Valero-Cuevas & Andrew Erwin

  2. Division of Biokinesiology and Physical Therapy University of Southern California, Los Angeles, CA, USA

    Francisco J. Valero-Cuevas & Andrew Erwin

  3. Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA

    Francisco J. Valero-Cuevas

  4. Department of Computer Science, University of Southern California, Los Angeles, CA, USA

    Francisco J. Valero-Cuevas

  5. Department of Aerospace & Mechanical Engineering, University of Southern California, Los Angeles, CA, USA

    Francisco J. Valero-Cuevas

Authors
  1. Francisco J. Valero-Cuevas
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  2. Andrew Erwin
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Correspondence to Francisco J. Valero-Cuevas.

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The authors declare no competing interests.

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Valero-Cuevas, F.J., Erwin, A. Bio-robots step towards brain–body co-adaptation. Nat Mach Intell 4, 737–738 (2022). https://doi.org/10.1038/s42256-022-00528-x

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