Evidence map›Paper›PMID 31360812›Full record

ArticleScience robotics2017

Organismal Engineering: Towards a Robotic Taxonomic Key for Devices Using Organic Materials.

Victoria A Webster-Wood, Ozan Akkus, Umut A Gurkan, Hillel J Chiel, Roger D Quinn

Abstract read
In one paragraph

Article in Science robotics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Zoborg: On-Demand Climbing Control for Cyborg Beetles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Article
  9. Ethics and responsibility in biohybrid robotics research.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

5 authors.

Victoria A Webster-WoodDept. of Mech. and Aero. Engineering, Case Western Reserve University, Cleveland, OH, USA.
Ozan AkkusDept. of Mech. and Aero. Engineering, Case Western Reserve University, Cleveland, OH, USA.
Umut A GurkanDept. of Mech. and Aero. Engineering, Case Western Reserve University, Cleveland, OH, USA.
Hillel J ChielDept. of Biology, Case Western Reserve University, Cleveland, OH, USA.
Roger D QuinnDept. of Mech. and Aero. Engineering, Case Western Reserve University, Cleveland, OH, USA.

Funding

TRAINING PROGRAM IN MUSCULOSKELETAL RESEARCHT32AR007505 · NIAMS · CASE WESTERN RESERVE UNIVERSITY · PI TRIOLO, RONALD J · 1986 to 2023
$6.3M
Tendon Tissue Engineering by Electrochemically Aligned Collagen BioscaffoldsR01AR063701 · NIAMS · CASE WESTERN RESERVE UNIVERSITY · PI AKKUS, OZAN · 2014 to 2018
$1.9M
NIAMS NIH HHS R01 AR063701NIAMS NIH HHS T32 AR007505
6 · The paper itself

Abstract

Can we create robots with the behavioral flexibility and robustness of animals? Engineers often use bio-inspiration to mimic animals. Recent advances in tissue engineering now allow the use of components from animals. By integrating organic and synthetic components, researchers are moving towards the development of engineered organisms whose structural framework, actuation, sensing, and control are partially or completely organic. This review discusses recent exciting work demonstrating how organic components can be used for all facets of robot development. Based on this analysis, we propose a Robotic Taxonomic Key to guide the field towards a unified lexicon for device description.

Identifiers

PMID31360812
PMCPMC6663099

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Registered trials

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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.