Evidence map›Paper›PMID 41499492›Full record

ArticleScience advances2026

Bioinspired cross-medium wall-climbing robot with high-performance adhesion and contact adaptability.

Haoran Liu, Hongmiao Tian, Zexi Zheng, Huiming Liu, Hechuan Ma, Zhihao Deng, Duorui Wang, Jinyu Zhang, Xiangming Li, Xiaoliang Chen and 4 more

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Haoran LiuMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0009-0006-7206-9711
Hongmiao TianMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0000-0002-7377-8492
Zexi ZhengMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0009-0002-7946-3333
Huiming LiuMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
Hechuan MaMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
Zhihao DengMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
Duorui WangMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
Jinyu ZhangMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0009-0005-9235-4571
Xiangming LiMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
Xiaoliang ChenMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0000-0002-5674-9884
Chunhui WangMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
Xiaoming ChenMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0000-0002-2777-1871
Qiguang HeDepartment of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Hong Kong 999077, China.ORCID 0000-0001-7103-4273
Jinyou ShaoMicro- and Nano-Technology Research Center, State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.ORCID 0000-0003-3388-6656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wall-climbing robots (WCRs) using numerous attachment/grasping mechanisms replace humans in executing repetitive or challenging tasks in space-confined, high-risk, or radioactive environments, garnering substantial research interest. Nevertheless, their application remains limited to environment- and surface-specific scenarios. To this end, we present a contact-adaptable, peeling-resistant, and cross-medium WCR integrated with gecko- and octopus-inspired self-adaptive rigid-soft hybrid tracks. The hollow mushroom-shaped adhesive microstructures (HMSAMSs) on the robot tracks simultaneously couple the adhesive structural morphologies of gecko and octopus as well as inherit their functions. These microstructures demonstrate superior normal and tangential adhesion forces and adhesion-to-preload ratios in dry and underwater environments, endowing the WCR with stable cross-medium performance. Furthermore, we construct discrete HMSAMS patches and rigid-soft components in robot track, respectively mimicking biological adhesion's mechanical decoupling and bone-muscle functions, which effectively prevent interface crack propagation, improve peeling threshold, and enhance contact adaptability. The WCR with aforementioned advantages substantially adapts to diverse material surfaces in complex multimedia environments, accelerating its universal application.

Indexed as

BiomimeticsRoboticsAdhesivenessAnimalsLizardsOctopodiformes

Identifiers

PMID41499492
PMCPMC12778059

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.