Evidence map›Paper›PMID 37682998›Full record

ArticleScience advances2023

Physically intelligent autonomous soft robotic maze escaper.

Yao Zhao, Yaoye Hong, Yanbin Li, Fangjie Qi, Haitao Qing, Hao Su, Jie Yin

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Robotic ray driven by periodic ring snapping.Innovation (Cambridge (Mass.)) · 2025
    Article
  10. Article
  11. Article
  12. Review
  13. Aerial Track-Guided Autonomous Soft Ring Robot.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Self-sustainable autonomous soft actuators.Communications chemistry · 2024
    Review
  20. Defected twisted ring topology for autonomous periodic flip-spin-orbit soft robot.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

7 authors.

Yao ZhaoDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0001-8997-9670
Yaoye HongDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0002-9671-9508
Yanbin LiDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0003-0870-4507
Fangjie QiDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0009-0009-5202-0023
Haitao QingDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0003-3624-478X
Hao SuDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0003-3299-7418
Jie YinDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0002-6297-1262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autonomous maze navigation is appealing yet challenging in soft robotics for exploring priori unknown unstructured environments, as it often requires human-like brain that integrates onboard power, sensors, and control for computational intelligence. Here, we report harnessing both geometric and materials intelligence in liquid crystal elastomer-based self-rolling robots for autonomous escaping from complex multichannel mazes without the need for human-like brain. The soft robot powered by environmental thermal energy has asymmetric geometry with hybrid twisted and helical shapes on two ends. Such geometric asymmetry enables built-in active and sustained self-turning capabilities, unlike its symmetric counterparts in either twisted or helical shapes that only demonstrate transient self-turning through untwisting. Combining self-snapping for motion reflection, it shows unique curved zigzag paths to avoid entrapment in its counterparts, which allows for successful self-escaping from various challenging mazes, including mazes on granular terrains, mazes with narrow gaps, and even mazes with in situ changing layouts.

Identifiers

PMID37682998
PMCPMC10491293

What OpenQuestion holds

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LicenceCC BY
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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.