4.8 Article

Optical lace for synthetic afferent neural networks

Journal

SCIENCE ROBOTICS
Volume 4, Issue 34, Pages -

Publisher

AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/scirobotics.aaw6304

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Funding

  1. National Center for Advancing Translational Sciences, NIH [TL1-TR-002386]
  2. Air Force Office of Scientific Research [FA9550-18-1-024]
  3. Office of Naval Research Department of Defense [N00014-17-1-2837]
  4. NIH [S10OD012287]
  5. NSF [ECCS-1542081]
  6. NSF Materials Research Science and Engineering Centers program [DMR-1719875]

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Whereas vision dominates sensing in robots, animals with limited vision deftly navigate their environment using other forms of perception, such as touch. Efforts have been made to apply artificial skins with tactile sensing to robots for similarly sophisticated mobile and manipulative skills. The ability to functionally mimic the afferent sensory neural network, required for distributed sensing and communication networks throughout the body, is still missing. This limitation is partially due to the lack of cointegration of the mechanosensors in the body of the robot. Here, lacings of stretchable optical fibers distributed throughout 3D-printed elastomer frameworks created a cointegrated body, sensing, and communication network. This soft, functional structure could localize deformation with submillimeter positional accuracy (error of 0.71 millimeter) and sub-Newton force resolution (similar to 0.3 newton).

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