Evidence map›Paper›PMID 35605115›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Twisting for soft intelligent autonomous robot in unstructured environments.

Yao Zhao, Yinding Chi, Yaoye Hong, Yanbin Li, Shu Yang, Jie Yin

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Dual-chirality flexagon linkages with infinite eversion and surface reconfigurability.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Bioinspired Twisted Artificial Muscles with Enhanced Performance for Underwater Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. Robotic ray driven by periodic ring snapping.Innovation (Cambridge (Mass.)) · 2025
    Article
  12. Article
  13. Thermally Actuated Soft Robotics.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  14. Reprogrammable sequencing for physically intelligent underactuated robots.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Article
  16. Article
  17. Aerial Track-Guided Autonomous Soft Ring Robot.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. 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

6 authors.

Yao ZhaoDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695.
Yinding ChiDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695.ORCID 0000-0003-2674-721X
Yaoye HongDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695.
Yanbin LiDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695.ORCID 0000-0003-0870-4507
Shu YangDepartment of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-8834-3320
Jie YinDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695.ORCID 0000-0002-6297-1262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft robots that can harvest energy from environmental resources for autonomous locomotion is highly desired; however, few are capable of adaptive navigation without human interventions. Here, we report twisting soft robots with embodied physical intelligence for adaptive, intelligent autonomous locomotion in various unstructured environments, without on-board or external controls and human interventions. The soft robots are constructed of twisted thermal-responsive liquid crystal elastomer ribbons with a straight centerline. They can harvest thermal energy from environments to roll on outdoor hard surfaces and challenging granular substrates without slip, including ascending loose sandy slopes, crossing sand ripples, escaping from burying sand, and crossing rocks with additional camouflaging features. The twisting body provides anchoring functionality by burrowing into loose sand. When encountering obstacles, they can either self-turn or self-snap for obstacle negotiation and avoidance. Theoretical models and finite element simulation reveal that such physical intelligence is achieved by spontaneously snapping-through its soft body upon active and adaptive soft body-obstacle interactions. Utilizing this strategy, they can intelligently escape from confined spaces and maze-like obstacle courses without any human intervention. This work presents a de novo design of embodied physical intelligence by harnessing the twisting geometry and snap-through instability for adaptive soft robot-environment interactions.

Indexed as

RoboticsDecision MakingIntelligenceautonomous soft robotliquid crystal elastomerphysical intelligencesnappingunstructured environment

Identifiers

PMID35605115
PMCPMC9295757

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.