Evidence map›Paper›PMID 35890561›Full record

ArticlePolymers2022

3D-Printed Soft Pneumatic Robotic Digit Based on Parametric Kinematic Model for Finger Action Mimicking.

Shumi Zhao, Ziwen Wang, Yisong Lei, Jie Zhang, Yuyao Li, Zeji Sun, Zidan Gong

Open access · goldAbstract read
In one paragraph

Article in Polymers, 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
0.7field-weighted citation impact, top 37% of its field
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, 8 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Shumi ZhaoInstitute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230026, China.
Ziwen WangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Yisong LeiSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Jie ZhangSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Yuyao LiSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Zeji SunSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Zidan GongSino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.ORCID 0000-0003-4521-8524
Shenzhen Technology University · CN

Funding

Natural Science Foundation of Top Talent of SZTU GDRC202107, Grant No. 2022024555101048
6 · The paper itself

Abstract

A robotic digit with shape modulation, allowing personalized and adaptable finger motions, can be used to restore finger functions after finger trauma or neurological impairment. A soft pneumatic robotic digit consisting of pneumatic bellows actuators as biomimetic artificial joints is proposed in this study to achieve specific finger motions. A parametric kinematic model is employed to describe the tip motion trajectory of the soft pneumatic robotic digit and guide the actuator parameter design (i.e., the pressure supply, actuator material properties, and structure requirements of the adopted pneumatic bellows actuators). The direct 3D printing technique is adopted in the fabrication process of the soft pneumatic robotic digit using the smart material of thermoplastic polyurethane. Each digit joint achieves different ranges of motion (ROM; bending angles of distal, proximal, and metacarpal joint are 107°, 101°, and 97°, respectively) under a low pressure of 30 kPa, which are consistent with the functional ROM of a human finger for performing daily activities. Theoretical model analysis and experiment tests are performed to validate the effectiveness of the digit parametric kinematic model, thereby providing evidence-based technical parameters for the precise control of dynamic pressure dosages to achieve the required motions.

Indexed as

analytical modelingmechanical propertiesphysical propertiessoft robotic digit

Identifiers

PMID35890561
PMCPMC9323582
OpenAlexW4284890443

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.