Evidence map›Paper›PMID 40305621›Full record

ArticleScience advances2025

Adaptable cavity exploration: Bioinspired vibration-propelled PufferFace Robot with a morphable body.

Linh Viet Nguyen, Hansoul Kim, Khoi Thanh Nguyen, Farshid Alambeigi, Van Anh Ho

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Reprogrammable Phase-Transition Composites for Adaptive Dynamic Shape Morphing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. 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.

Linh Viet NguyenJapan Advanced Institute of Science and Technology (JAIST), Nomi, Ishikawa, Japan.ORCID 0009-0003-2021-5500
Hansoul KimDepartment of Mechanical Engineering, Myongji University, Yongin, Republic of Korea.ORCID 0000-0003-4001-6368
Khoi Thanh NguyenJapan Advanced Institute of Science and Technology (JAIST), Nomi, Ishikawa, Japan.ORCID 0000-0002-1402-9766
Farshid AlambeigiUniversity of Texas at Austin, Austin, TX, USA.ORCID 0000-0001-6903-5939
Van Anh HoJapan Advanced Institute of Science and Technology (JAIST), Nomi, Ishikawa, Japan.ORCID 0000-0002-4519-0448

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robots with adaptive morphology can improve interactions with their environment, allowing adaptive functions without complicated control strategies. Inspired by a pufferfish, this paper introduces PufferFace Robot (PFR), a vibration-propelled soft robot with an adaptive design for exploring cavities using simple locomotion strategies. PFR is particularly useful for inspecting centimeter-scale pipeline systems with varying diameters and shapes, which pose substantial challenges. Although recent soft robots using smart materials offer advantages, difficulties remain in handling different pipe sizes, navigating transitions, and managing fluid flow. PFR's inflatable soft skin is equipped with flexible spikes that create asymmetrical friction under vibrations, propelling the robot forward without feedback control. Its hollow structure allows fluid flow, while a front-mounted camera enhances inspection capabilities. PFR adapts to various pipeline conditions, navigating cavities 1 to 1.5 times its diameter and critical areas such as 90° elbows, T-connectors, and high-curvature sections. In specific scenarios, PFR can generate a propulsive force 20 to 35 times its weight.

Identifiers

PMID40305621
PMCPMC12042880

What OpenQuestion holds

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LicenceCC BY-NC
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.