Evidence map›Paper›PMID 35891049›Full record

ArticleSensors (Basel, Switzerland)2022

Origami-Inspired Structure with Pneumatic-Induced Variable Stiffness for Multi-DOF Force-Sensing.

Wenchao Yue, Jiaming Qi, Xiao Song, Shicheng Fan, Giancarlo Fortino, Chia-Hung Chen, Chenjie Xu, Hongliang Ren

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Wenchao YueDepartment of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-9788-3705
Jiaming QiDepartment of Biomedical Engineering, National University of Singapore, Singapore 119077, Singapore.
Xiao SongDepartment of Biomedical Engineering, National University of Singapore, Singapore 119077, Singapore.
Shicheng FanDepartment of Biomedical Engineering, National University of Singapore, Singapore 119077, Singapore.
Giancarlo FortinoDepartment of Computer Science, University of Calabria, 87036 Rende, Italy.ORCID 0000-0002-4039-891X
Chia-Hung ChenDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Chenjie XuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.
Hongliang RenDepartment of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0002-6488-1551

Funding

Hong Kong Research Grants Council (RGC) Collaborative Research Fund CRF C4026-21GFHong Kong Research Grants Council (RGC) Collaborative Research Fund GRS 3110167the Key Project of the Regional Joint Fund Project of the Basic and Applied Research Fund of Guangdong Province 2021B1515120035
6 · The paper itself

Abstract

With the emerging need for human-machine interactions, multi-modal sensory interaction is gradually pursued rather than satisfying common perception forms (visual or auditory), so developing flexible, adaptive, and stiffness-variable force-sensing devices is the key to further promoting human-machine fusion. However, current sensor sensitivity is fixed and nonadjustable after fabrication, limiting further development. To solve this problem, we propose an origami-inspired structure to achieve multiple degrees of freedom (DoFs) motions with variable stiffness for force-sensing, which combines the ductility and flexibility of origami structures. In combination with the pneumatic actuation, the structure can achieve and adapt the compression, pitch, roll, diagonal, and array motions (five motion modes), which significantly increase the force adaptability and sensing diversity. To achieve closed-loop control and avoid excessive gas injection, the ultra-flexible microfiber sensor is designed and seamlessly embedded with an approximately linear sensitivity of ∼0.35 Ω/kPa at a relative pressure of 0-100 kPa, and an exponential sensitivity at a relative pressure of 100-350 kPa, which can render this device capable of working under various conditions. The final calibration experiment demonstrates that the pre-pressure value can affect the sensor's sensitivity. With the increasing pre-pressure of 65-95 kPa, the average sensitivity curve shifts rightwards around 9 N intervals, which highly increases the force-sensing capability towards the range of 0-2 N. When the pre-pressure is at the relatively extreme air pressure of 100 kPa, the force sensitivity value is around 11.6 Ω/N. Therefore, our proposed design (which has a low fabrication cost, high integration level, and a suitable sensing range) shows great potential for applications in flexible force-sensing development.

Indexed as

MotionHumansPressureforce-sensingmicrofiberorigami-inspiredpneumatic actuationvariable stiffness

Identifiers

PMID35891049
PMCPMC9321357

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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.