Evidence map›Paper›PMID 41293858›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

High-Speed, Maneuverable, and Terrain-Adaptive Micro-Robot with Tree Frog-Inspired Bionic Feet.

Weizhi Zhao, Shijia Li, Kaiwen Zhang, Wanyu Zhang, Danyang Liu, Weidong Fang, Yanxin Zhai, Kaibo Lei, Liwen Zhang, Huawei Chen and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Weizhi ZhaoResearch Institute of Aero Engine, Beihang University, Beijing, 100191, China.
Shijia LiResearch Institute of Aero Engine, Beihang University, Beijing, 100191, China.
Kaiwen ZhangResearch Institute of Aero Engine, Beihang University, Beijing, 100191, China.
Wanyu ZhangSchool of Energy and Power Engineering, Beihang University, Beijing, 100191, China.
Danyang LiuSchool of Energy and Power Engineering, Beihang University, Beijing, 100191, China.
Weidong FangResearch Institute of Aero Engine, Beihang University, Beijing, 100191, China.
Yanxin ZhaiResearch Institute of Aero Engine, Beihang University, Beijing, 100191, China.
Kaibo LeiResearch Institute of Aero Engine, Beihang University, Beijing, 100191, China.
Liwen ZhangSchool of Mechanical Engineering & Automation, Beihang University, Beijing, 100191, China.
Huawei ChenSchool of Mechanical Engineering & Automation, Beihang University, Beijing, 100191, China.
Tiantong XuResearch Institute of Aero Engine, Beihang University, Beijing, 100191, China.ORCID https://orcid.org/0000-0002-0840-6692

Funding

Natural Science Foundation of Beijing Municipality 3254034Postdoctoral Research Foundation of China 2024M764085
6 · The paper itself

Abstract

Micro-robots hold promise for complex tasks such as fault diagnosis and emergency response, where conventional detection methods are limited by size and maneuverability constraints. However, their adaptability in complex environments remains insufficient owing to reduced propulsion efficiency. This study proposes a 7.5 mm micro-robot actuated by an electromagnetic linear motor and integrated with tree frog-inspired bionic feet (MRBF) to enhance traction and locomotion performance. The bionic feet are fabricated via angled photolithography to realize the microstructured design. The integration of bionic feet enables the MRBF to reach a maximum velocity of 39 body lengths per second (BL s

Indexed as

aero‐engine detectionbionic feetcontrollabilityhigh‐speedmicro‐robot

Identifiers

PMID41293858
PMCPMC12866859

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.