Evidence map›Paper›PMID 42159415›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Origami-Mediated Low-Voltage Electret Soft Robotic Actuators for Human-Machine Haptic Interfaces.

Han Chen, Yongcheng He, Jingyi Liu, Yutong Yuan, Jianhua Li, Yizhuo Qian, Kai Wang, Jian Jiao, Raye Chen-Hua Yeow

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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
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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

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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

9 authors.

Han ChenDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China.
Yongcheng HePeng Cheng Laboratory, Shenzhen, China.
Jingyi LiuPeng Cheng Laboratory, Shenzhen, China.
Yutong YuanPeng Cheng Laboratory, Shenzhen, China.
Jianhua LiDepartment of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, China.
Yizhuo QianPeng Cheng Laboratory, Shenzhen, China.
Kai WangDepartment of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID https://orcid.org/0000-0003-0443-6955
Jian JiaoPeng Cheng Laboratory, Shenzhen, China.
Raye Chen-Hua YeowDepartment of Biomedical Engineering, National University of Singapore, Singapore, Singapore.

Funding

Guangdong S&T Program 2024B0101010003Major Key Projects of PCL PCL2025A12-2Major Key Projects of PCL PCL2025A17-2Ministry of Education Academic Research Fund Tier 1 A-8004048-00-00
6 · The paper itself

Abstract

Soft robotic actuators often require relatively high driving voltages, which limit their portability, safety, and compatibility with compact electronic systems in wearable haptic interfaces. Achieving strong electromechanical coupling at low voltage while maintaining mechanical compliance remains a key challenge for soft actuator design. Here, we present an origami-mediated low-voltage electret soft robotic actuator that integrates mechanical compliance and electrical functionality within a symmetric multilayer architecture. Two double-layer fluorinated ethylene propylene (FEP) electret films with enclosed micro air-cavity arrays are positioned on both sides of a folded copper origami structure. The origami layer acts as a compliant electrode with a tunable spring-like response, while the air-cavity arrays promote high surface potential and stable charge retention. By jointly optimizing electret charging and origami stiffness, the actuator produces perceptible vibrotactile feedback at driving voltages as low as 20 V and supports reliable tactile digital recognition at 70 V using a 7-segment actuator array. Stable output and durability are maintained over 10 h of high-frequency operation. Application in a virtual reality piano training task further demonstrates statistically significant improvements in motor learning performance and perceived immersion. This approach offers a compelling pathway toward compact, low-voltage human-machine haptic interfaces with robust tactile performance.

Indexed as

Equipment DesignHaptic InterfacesMan-Machine SystemsRoboticsHumanselectret‐based actuationhuman‐machine interfaceslow‐voltage haptic feedbackorigami‐inspired soft actuators

Identifiers

PMID42159415
PMCPMC13335916

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.