Evidence map›Paper›PMID 37925504›Full record

ReviewNature communications2023

Bioinspired soft robots for deep-sea exploration.

Guorui Li, Tuck-Whye Wong, Benjamin Shih, Chunyu Guo, Luwen Wang, Jiaqi Liu, Tao Wang, Xiaobo Liu, Jiayao Yan, Baosheng Wu and 11 more

Open access · goldAbstract readReview
In one paragraph

Review in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
36.2field-weighted citation impact, top 1% of its field
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

33 citing papers in PubMed, 183 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Ecosystem-Centered Robot Design: Toward Ecoresorbable Sustainability Robots (ESRs).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  9. Article
  10. Nature-Inspired Innovation in Electrical Engineering Technologies and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Aerial Track-Guided Autonomous Soft Ring Robot.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

21 authors at 12 institutions in 5 countries.

Guorui Li *Qingdao Innovation and Development Base, Harbin Engineering University, Qingdao, China. grli@hrbeu.edu.cn.
Tuck-Whye Wong *Center for X-Mechanics, Zhejiang University, Hangzhou, China.
Benjamin ShihSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Chunyu GuoQingdao Innovation and Development Base, Harbin Engineering University, Qingdao, China.
Luwen WangSchool of Information and Electrical Engineering, Hangzhou City University, Hangzhou, China.
Jiaqi LiuSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China.ORCID http://orcid.org/0000-0003-2958-9309
Tao WangQingdao Innovation and Development Base, Harbin Engineering University, Qingdao, China.
Xiaobo LiuQingdao Innovation and Development Base, Harbin Engineering University, Qingdao, China.
Jiayao YanDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, MA, USA.
Baosheng WuSchool of Ecology and Environment, Northwestern Polytechnical University, Xi'an, China.
Fajun YuQingdao Innovation and Development Base, Harbin Engineering University, Qingdao, China.
Yunsai ChenQingdao Innovation and Development Base, Harbin Engineering University, Qingdao, China.
Yiming LiangZhejiang Lab, Hangzhou, China.
Yaoting XueCenter for X-Mechanics, Zhejiang University, Hangzhou, China.
Chengjun WangCenter for X-Mechanics, Zhejiang University, Hangzhou, China.
Shunping HeInstitute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya, China.
Li WenSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China.ORCID http://orcid.org/0000-0002-1498-3103
Michael T TolleyDepartment of Mechanical and Aerospace Engineering, University of California, San Diego, MA, USA.
A-Man ZhangScience and Technology on Underwater Vehicle Technology Laboratory, Harbin Engineering University, Harbin, China.
Cecilia LaschiDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-5248-1043
Tiefeng LiCenter for X-Mechanics, Zhejiang University, Hangzhou, China. litiefeng@zju.edu.cn.ORCID http://orcid.org/0000-0003-0265-3454
Harbin Engineering University · CNBeihang University · CNUniversity of California San Diego · USZhejiang Lab · CNZhejiang University · CNChinese Academy of Sciences · CNHangzhou City UniversityHarbin University of Science and Technology · CNHarvard University · USNorthwestern Polytechnical University · CNScuola Superiore Sant'Anna · ITUniversity of Technology Malaysia · MY

Funding

National Natural Science Foundation of China (National Science Foundation of China) 11822207National Natural Science Foundation of China (National Science Foundation of China) 12102398National Natural Science Foundation of China (National Science Foundation of China) 51925904National Natural Science Foundation of China (National Science Foundation of China) 52088102National Natural Science Foundation of China (National Science Foundation of China) 91748209
6 · The paper itself

Abstract

The deep ocean, Earth's untouched expanse, presents immense challenges for exploration due to its extreme pressure, temperature, and darkness. Unlike traditional marine robots that require specialized metallic vessels for protection, deep-sea species thrive without such cumbersome pressure-resistant designs. Their pressure-adaptive forms, unique propulsion methods, and advanced senses have inspired innovation in designing lightweight, compact soft machines. This perspective addresses challenges, recent strides, and design strategies for bioinspired deep-sea soft robots. Drawing from abyssal life, it explores the actuation, sensing, power, and pressure resilience of multifunctional deep-sea soft robots, offering game-changing solutions for profound exploration and operation in harsh conditions.

Identifiers

PMID37925504
PMCPMC10625581
OpenAlexW4388339531

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.