Evidence map›Paper›PMID 41808672›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2026

Magnetic Tensegrity-Enabled Robotic Gripper with Adaptive Energy Barrier for UAV Perching.

Lulu Han, Hao Yang, Luobin Wang, Yuquan Zheng, Jingrui Yang, Yuxuan Fu, Jieliang Zhao, Zhong Wan, Zhigang Wu, Jie Zhang and 1 more

Abstract read
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 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

11 authors.

Lulu HanSchool of Aeronautics and Astronautics, Sun Yat-Sen University, Shenzhen 518107, China.ORCID https://orcid.org/0009-0006-7297-5685
Hao YangDepartment of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Hong Kong 999077, China.
Luobin WangSchool of Aeronautics and Astronautics, Sun Yat-Sen University, Shenzhen 518107, China.ORCID https://orcid.org/0009-0006-7976-7897
Yuquan ZhengSchool of Advanced Manufacturing, Sun Yat-Sen University, Shenzhen 518107, China.ORCID https://orcid.org/0009-0004-4127-1146
Jingrui YangSchool of Advanced Manufacturing, Sun Yat-Sen University, Shenzhen 518107, China.ORCID https://orcid.org/0009-0000-8052-9139
Yuxuan FuSchool of Advanced Manufacturing, Sun Yat-Sen University, Shenzhen 518107, China.
Jieliang ZhaoSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Zhong WanDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen 6525, Netherlands.
Zhigang WuSchool of Aeronautics and Astronautics, Sun Yat-Sen University, Shenzhen 518107, China.
Jie ZhangSchool of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, China.ORCID https://orcid.org/0000-0002-2178-0558
Jianing WuSchool of Advanced Manufacturing, Sun Yat-Sen University, Shenzhen 518107, China.ORCID https://orcid.org/0000-0003-0902-4466

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Equipping unmanned aerial vehicles (UAVs) with bistable robotic grippers allows them to perch on natural and artificial structures, extending mission duration by minimizing energy consumption during stationary operations. However, achieving both compliant triggering and powerful grasping remains a important challenge, particularly in the absence of active actuators. In this work, we present a magnetic tensegrity-enabled robotic gripper (MTRG) with an adaptive energy barrier by leveraging nonlinear interaction forces between magnets. This physical intelligence enables our MTRG to merge both sensitivity and strength, showcasing a failure-to-triggering force ratio exceeding 2 orders of magnitude, which allows for customized responses to varying interaction requirements. This capability involves gentle triggering and robust grasping, analogous to the behavior exhibited by bats. To enable repeated operation, an integrated inflatable airbag is used to reset the bistable system, allowing for multiple grasping behaviors without manual intervention. When integrated into UAVs, MTRGs showcase reliable perching abilities across diverse scenarios, highlighting the potential of passive mechanisms for enhancing the adaptability of energy barriers to achieve long-duration and high-altitude operations.

Identifiers

PMID41808672
PMCPMC12968396

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.