Evidence map›Paper›PMID 39587985›Full record

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

3D Printed Multi-Cavity Soft Actuator with Integrated Motion and Sensing Functionalities via Bio-Inspired Interweaving Foldable Endomysium.

Zhonggui Fang, Shaowu Tang, Yinyin Su, Xiaohuang Liu, Sicong Liu, Juan Yi, Zheng Wang, Jian S Dai

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 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. Article
  3. LEGO-like Origami Robots Standardize Structure Design of Soft Robots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

8 authors.

Zhonggui FangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.ORCID https://orcid.org/0000-0003-4988-4233
Shaowu TangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.
Yinyin SuDepartment of Mechanical Engineering, The University of Hong Kong, Hong Kong, 999077, China.
Xiaohuang LiuDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.
Sicong LiuDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.ORCID https://orcid.org/0000-0002-1872-5283
Juan YiDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.
Zheng WangDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.
Jian S DaiDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518000, China.

Funding

Guangdong Basic and Applied Basic Research Foundation 2021A1515110658Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics 2023B1212010005National Key R&D Program of China 2022YFB4701200National Natural Science Foundation of China 52475302Shenzhen Science and Technology Program JCYJ20220530114615034Shenzhen Science and Technology Program JCYJ20220818100417038
6 · The paper itself

Abstract

The human muscle bundle generates versatile movements with synchronous neurosensory, enabling human to undertake complex tasks, which inspires researches into functional integration of motions and sensing in actuators for robots. Although soft actuators have developed diverse motion capabilities utilizing the inherent compliance, the simultaneous-sensing approaches typically involve adding sensing components or embedding certain-signal-field substrates, resulting in structural complexity and discrepant deformations between the actuation parts with high-dimensional motions and the sensing parts with heterogeneous stiffnesses. Inspired by the muscle-bundle multifiber mechanism, a multicavity functional integration (McFI) approach is proposed for soft pneumatic actuators to simultaneously realize multidimensional motions and sensing by separating and coordinating active and passive cavities. A bio-inspired interweaving foldable endomysium (BIFE) is introduced to construct and reinforce the multicavity chamber with optimized purposive foldability, enabling 3D printing single-material fabrication. Performing elongation, contraction, and bidirectional bending, the McFI actuator senses its spatial position, orientation, and axial force, based on the kinematic and sensing models built on multi-cavity pressures. Two McFI-actuator-driven robots are built: a soft crawling robot with path reconstruction and a narrow-maneuverable soft gripper with object exteroception, validating the practicality in stand-alone use of the actuator and the potential for intelligent soft robotic innovation of the McFI approach.

Indexed as

bio‐inspired designintegrated motion and sensingsingle‐material foldable multicavitysoft actuator

Identifiers

PMID39587985
PMCPMC11744560

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.