Evidence map›Paper›PMID 40526712›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Terrestrial locomotion of microscopic robots enabled by 3D nanomembranes with nonreciprocal shape morphing.

Yang Wang, Xing Li, Chang Liu, Yunqi Wang, Chunyu You, Hong Zhu, Zhi Zheng, Ziyu Zhang, Guobang Jiang, Xiang Dong and 8 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 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. Review
  2. Article
  3. Article
  4. 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

18 authors.

Yang WangInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Xing LiInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Chang LiuInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Yunqi WangInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Chunyu YouInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Hong ZhuInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Zhi ZhengInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Ziyu ZhangInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.ORCID 0000-0003-2495-4880
Guobang JiangInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Xiang DongInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Tianjun CaiInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Ziao TianState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200433, People's Republic of China.
Zengfeng DiState Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200433, People's Republic of China.
Gaoshan HuangInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.ORCID 0000-0002-0525-7177
Xiangzhong ChenInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.
Enming SongInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.ORCID 0000-0002-2658-904X
Jizhai CuiInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.ORCID 0000-0003-1317-0570
Yongfeng MeiInternational Institute of Intelligent Nanorobots and Nanosystems & State Key Laboratory of Surface Physics, College of Intelligent Robotics and Advanced Manufacturing, Fudan University, Shanghai 200438, People's Republic of China.ORCID 0000-0002-3314-6108

Funding

Ministry of Science and Technology of the People's Republic of China (MOST) 2021YFA0715302Ministry of Science and Technology of the People's Republic of China (MOST) 2022YFA1207000MOST | National Natural Science Foundation of China (NSFC) 52101214MOST | National Natural Science Foundation of China (NSFC) 62375054Science and Technology Commission of Shanghai Municipality (STCSM) 21YF1401600Science and Technology Commission of Shanghai Municipality (STCSM) 21ZR1403500Science and Technology Commission of Shanghai Municipality (STCSM) 24520750200Science and Technology Commission of Shanghai Municipality (STCSM) 24CL2900200Shanghai Rising-Star Program 24QA2711700
6 · The paper itself

Abstract

Microscopic robots exhibit efficient locomotion in liquids by leveraging fluid dynamics and chemical reactions to generate force asymmetry, thereby enabling critical applications in photonics and biomedicine. However, achieving controllable locomotion of such robots on terrestrial surfaces remains challenging because fluctuating adhesion on nonideal surfaces disrupts the necessary asymmetry for propulsion. Here, we present a microscopic robot composed of three-dimensional nanomembranes, which navigate diverse terrestrial surfaces with omnidirectional motion. We propose a general mechanism employing nonreciprocal shape morphing to generate stable asymmetric forces on surfaces. This nonreciprocal shape morphing is realized through a laser-actuated vanadium dioxide nanomembrane, leveraging the material's inherent hysteresis properties. We demonstrate that these robots can be fabricated in various shapes, ranging from simple square structures to bioinspired "bipedal" helical designs, enabling them to directionally navigate challenging surfaces such as paper, leaves, sand, and vertical walls. Furthermore, their omnidirectional motion facilitates applications in microassembly and microelectronic circuit integration. Additionally, we developed an artificial intelligence control algorithm based on reinforcement learning, enabling these robots to autonomously follow complex trajectories, such as tracing the phrase "hello world". Our study lays a theoretical and technological foundation for microscopic robots with terrestrial locomotion and paves a way for microscopic robots capable of operating on surfaces for advanced nanophotonic, microelectronic, and biomedical applications.

Indexed as

microrobots’ locomotionnonreciprocalshape morphingthree-dimensional nanomembranesvanadium dioxide

Identifiers

PMID40526712
PMCPMC12207485

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.