Evidence map›Paper›PMID 40270438›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Elastic Fiber Programming for Simplified Pneumatic Control in Soft Robots.

Xiaoli Yang, Tao Jin, Shiwei Tian, Jieyu Wang, Sicheng Yi, Yue Wang, Long Li, Yangqiao Lin

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Elastic Fiber Programming for Simplified Pneumatic Control in Soft Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

8 authors.

Xiaoli YangShanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.ORCID https://orcid.org/0009-0001-2808-9508
Tao JinShanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.ORCID https://orcid.org/0000-0002-9509-0584
Shiwei TianSchool of Electrical Engineering and Automation, Anhui University, Anhui, 230601, China.
Jieyu WangShanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.
Sicheng YiShanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.
Yue WangSchool of Future Technology, Institute of Artificial Intelligence, Shanghai University, Shanghai, 200444, China.
Long LiShanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.
Yangqiao LinShanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200444, China.ORCID https://orcid.org/0000-0002-8231-7786

Funding

National Natural Science Foundation of China 12202256National Natural Science Foundation of China 52105073National Natural Science Foundation of China 62273222National Natural Science Foundation of China 62303291Shanghai Sailing Program 23YF1413200
6 · The paper itself

Abstract

Conventional pneumatic soft robots require complex control systems with multiple valves and circuits due to coupled structural and pneumatic dynamics. A strategy is presented to program the pneumatic response characteristics of soft actuators by embedding elastic fibers with tailored materials and pre-stretch ratios, enabling structurally identical modules to exhibit distinct pressure-driven responses. A 6 mm-diameter actuator prototype demonstrates this paradigm, achieving a 2632% load ratio and 225°/s bending speed at a material cost of 9 cents. Crucially, a single pneumatic input suffices for multi-step actuation-shown in pipeline-climbing robots, omnidirectional crawlers, and grippers adapting to objects from 10 to 450 g. This fusion of material programming and mechanical intelligence simplifies control architectures while enhancing functionality, offering a scalable path toward deployable soft robotics.

Indexed as

actuation control simplificationelastic fiber programmingmodularizationpneumatic response characteristicspneumatic soft robots

Identifiers

PMID40270438
PMCPMC12224970

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.