Evidence map›Paper›PMID 31723716›Full record

ArticleScience robotics2019

Optical Lace for Synthetic Afferent Neural Networks.

Artemis Xu, A K Mishra, H Bai, C A Aubin, L Zullo, R F Shepherd

Abstract read
In one paragraph

Article in Science robotics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. MELEGROS: Monolithic Elephant-Inspired Gripper with Optical Sensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Optomechanical reservoir computing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Highly Integrated Multi-Material Fibers for Soft Robotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  7. Article
  8. Article
  9. Smart E-Textiles: Overview of Components and Outlook.Sensors (Basel, Switzerland) · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Artemis XuDepartment of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, 14850, USA.
A K MishraDepartment of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, 14850, USA.
H BaiDepartment of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, 14850, USA.
C A AubinDepartment of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, 14850, USA.
L ZulloCenter for Synaptic Neuroscience and Technology, Istituto Italiano di Tecnologia, Genova, Italy.
R F ShepherdDepartment of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, 14850, USA.

Funding

J. NRSA Training CoreTL1TR002386 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI Genevieve Giny Fouda Amou ou · 2017 to 2026
$5.8M
Acquisition of a Nano Computed Tomography Instrument for shared Cornell Imaging fS10OD012287 · OD · CORNELL UNIVERSITY · PI HERNANDEZ, CHRISTOPHER JOHN · 2013 to 2013
$755k
NCATS NIH HHS TL1 TR002386NIH HHS S10 OD012287
6 · The paper itself

Abstract

While 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. In this paper, lacings of stretchable optical fibers distributed throughout 3D printed elastomer frameworks create a cointegrated body, sensing, and communication network. This soft, functional structure can localize deformation with sub-millimeter positional accuracy (Err = 0.71 mm), and sub-Newton force resolution (~0.3 N).

Identifiers

PMID31723716
PMCPMC6853625

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.