Evidence map›Paper›PMID 42842668›Full record

ArticleScience advances2026

Mitigating lateral sensing blind spots: A dual-segment bronchoscopic robot with a bioinspired skin.

Qiqi Pan, Wenke Duan, Jingjing Luo, Lei Wang, Shijie Guo, Yongfei Feng, Hongbo Wang

Abstract read
PubMed Full text at PMC Publisher
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qiqi PanCollege of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai & 200433, China.ORCID 0009-0009-2639-2624
Wenke DuanShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen & 518055, China.
Jingjing LuoSchool of Electronic Information, Central South University, Changsha & 410083, China.ORCID 0000-0002-3222-1276
Lei WangShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen & 518055, China.ORCID 0000-0002-7033-9806
Shijie GuoCollege of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai & 200433, China.ORCID 0000-0002-1335-2852
Yongfei FengFaculty of Mechanical Engineering and Mechanics, Ningbo University, Ningbo & 315211, China.ORCID 0000-0002-0509-2130
Hongbo WangCollege of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai & 200433, China.ORCID 0000-0002-0205-6441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lateral force blind spots frequently trigger airway injuries during robotic bronchoscopy. Traditional sensing approaches lack fine spatial resolution, and single-segment robots suffer poor posture adjustment flexibility, worsening unmonitored tissue contact. We integrate a snake-scale-inspired 64-channel gradient piezoelectric film with a dual-segment manipulator to resolve lateral blind spots for secure bronchial navigation. The conformally wrapped sensor delivers fast (<10 ms), precise force detection (

Indexed as

BronchoscopyRoboticsRobotic Surgical ProceduresAnimalsBiomimeticsEquipment DesignHumansSkinSwine

Identifiers

PMID42842668
PMCPMC13644774

What OpenQuestion holds

Textmetadata
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.