Evidence map›Paper›PMID 37758737›Full record

ArticleNature communications2023

Embedded shape morphing for morphologically adaptive robots.

Jiefeng Sun, Elisha Lerner, Brandon Tighe, Clint Middlemist, Jianguo Zhao

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Programmable Sequential 4D Actuation in Multistable Kirigami Metamaterials.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Liquid Metals for Reconfigurable Bioelectronics.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  6. Bioinspired Twisted Artificial Muscles with Enhanced Performance for Underwater Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Reprogrammable Phase-Transition Composites for Adaptive Dynamic Shape Morphing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Article
  9. Acoustic shape-morphing micromachines.Nature communications · 2026
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. A Multimodal Amphibious Robot Driven by Soft Electrohydraulic Flippers.Cyborg and bionic systems (Washington, D.C.) · 2025
    Article
  19. Article
  20. 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

5 authors.

Jiefeng SunAdaptive Robotics Lab, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA. jiefeng.sun@yale.edu.ORCID http://orcid.org/0000-0002-0886-4108
Elisha LernerAdaptive Robotics Lab, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.ORCID http://orcid.org/0000-0002-9495-0730
Brandon TigheAdaptive Robotics Lab, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.
Clint MiddlemistAdaptive Robotics Lab, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.
Jianguo ZhaoAdaptive Robotics Lab, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA. jianguo.zhao@colostate.edu.ORCID http://orcid.org/0000-0003-0305-2597

Funding

National Science Foundation (NSF) CMMI-2230321
6 · The paper itself

Abstract

Shape-morphing robots can change their morphology to fulfill different tasks in varying environments, but existing shape-morphing capability is not embedded in a robot's body, requiring bulky supporting equipment. Here, we report an embedded shape-morphing scheme with the shape actuation, sensing, and locking, all embedded in a robot's body. We showcase this embedded scheme using three morphing robotic systems: 1) self-sensing shape-morphing grippers that can adapt to objects for adaptive grasping; 2) a quadrupedal robot that can morph its body shape for different terrestrial locomotion modes (walk, crawl, or horizontal climb); 3) an untethered robot that can morph its limbs' shape for amphibious locomotion. We also create a library of embedded morphing modules to demonstrate the versatile programmable shapes (e.g., torsion, 3D bending, surface morphing, etc.). Our embedded morphing scheme offers a promising avenue for robots to reconfigure their morphology in an embedded manner that can adapt to different environments on demand.

Identifiers

PMID37758737
PMCPMC10533550

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.