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Mechanical metamaterials with customized microstructures are increasingly shaping robotic design and functionality, enabling the integration of sensing, actuation, control, and computation within the robot body. This Review outlines how metamaterial design principles—mechanics-inspired architectures, shape-reconfigurable structures, and material-driven functionality—enhance adaptability and distributed intelligence in robotics. We also discuss how artificial intelligence supports metamaterial robotics in design, modeling, and control, advancing systems with complex sensory feedback, learning capability, and adaptive physical interactions. This Review aims to inspire the community to explore the transformative potential of metamaterial robotics, fostering innovations that bridge the gap between materials engineering and intelligent robotics.

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• In Copyright
  

  This is the author's version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science Robotics on 19 Nov 2025
  ; doi: 10.1126/scirobotics.adx1519.

Keyword: mechanical metamaterials, reconfigurable robotics, artificial intelligence

Date published: 2025-11-19

Publisher: American Association for the Advancement of Science (AAAS)

Journal:

• Science Robotics (ISSN: 24709476) vol. 10 issue. 108 eadx1519

Funding:

• Japan Society for the Promotion of Science 22KJ0407
• Japan Society for the Promotion of Science JP_EG_special_032023_11

Manuscript type: Author's version (Accepted manuscript)

MDR DOI: https://doi.org/10.48505/nims.5918

First published URL: https://doi.org/10.1126/scirobotics.adx1519

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Updated at: 2025-11-20 16:30:08 +0900

Published on MDR: 2025-11-20 16:25:39 +0900