Evidence map›Paper›PMID 40032815›Full record

ArticleMicrosystems & nanoengineering2025

Sensing-actuating integrated asymmetric multilayer hydrogel muscle for soft robotics.

Yexi Zhou, Yu Zhao, Dazhe Zhao, Xiao Guan, Kaijun Zhang, Yucong Pi, Junwen Zhong

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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. Review
  3. Article
  4. Review
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.

Yexi ZhouDepartment of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, 999078, Macau SAR, China.
Yu ZhaoDepartment of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, 999078, Macau SAR, China.
Dazhe ZhaoDepartment of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, 999078, Macau SAR, China.ORCID http://orcid.org/0000-0002-1377-166X
Xiao GuanDepartment of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, 999078, Macau SAR, China.
Kaijun ZhangDepartment of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, 999078, Macau SAR, China.
Yucong PiDepartment of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, 999078, Macau SAR, China.
Junwen ZhongDepartment of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, 999078, Macau SAR, China. junwenzhong@um.edu.mo.ORCID http://orcid.org/0000-0002-0232-1604

Funding

Fundo para o Desenvolvimento das Ciências e da Tecnologia (Science and Technology Development Fund) 0117/2024/AMJUniversidade de Macau (University of Macau) MYRG-CRG2024-00014-FST-ICIUniversidade de Macau (University of Macau) MYRG-GRG2023-00041-FST-UMDFUniversidade de Macau (University of Macau) MYRG-GRG2024-00121-FST
6 · The paper itself

Abstract

Achieving autonomously responding to external stimuli and providing real-time feedback on their motion state are key challenges in soft robotics. Herein, we propose an asymmetric three-layer hydrogel muscle with integrated sensing and actuating performances. The actuating layer, made of p(NIPAm-HEMA), features an open pore structure, enabling it to achieve 58% volume shrinkage in just 8 s. The customizable heater allows for efficient programmable deformation of the actuating layer. A strain-responsive hydrogel layer, with a linear response of up to 50% strain, is designed to sense the deformation process. Leveraging these actuating and sensing capabilities, we develop an integrated hydrogel muscle that can recognize lifted objects with various weights or grasped objects of different sizes. Furthermore, we demonstrate a self-crawling robot to showcase the application potential of the hydrogel muscle for soft robots working in aquatic environments. This robot, featuring a modular distributed sensing and actuating layer, can autonomously move forward under closed-loop control based on self-detected resistance signals. The strategy of modular distributed stimuli-responsive sensing and actuating materials offers unprecedented capabilities for creating smart and multifunctional soft robotics.

Identifiers

PMID40032815
PMCPMC11876583

What OpenQuestion holds

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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.