Evidence map›Paper›PMID 39811617›Full record

ArticleMethodsX2025

Numerical and experimental methods for the assessment of a human finger-inspired soft pneumatic actuator for gripping applications.

Subraya Krishna Bhat, Deepak Doreswamy, Aman H Hegde, Vamsi Krishna Nukarapu, Sathvik Bhat, S Puneeth, Vaibhav Das, Aiman Aatif Bayezeed, Anupkumar M Bongale

Abstract read
In one paragraph

Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

9 authors.

Subraya Krishna BhatDepartment of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Deepak DoreswamyDepartment of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Aman H HegdeDepartment of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Vamsi Krishna NukarapuDepartment of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Sathvik BhatDepartment of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
S PuneethDepartment of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Vaibhav DasDepartment of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Aiman Aatif BayezeedDepartment of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Anupkumar M BongaleDepartment of Artificial Intelligence and Machine Learning, Symbiosis Institute of Technology, Pune Campus, Symbiosis International (Deemed University), Lavale, Pune, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing demand for soft robotic systems in agricultural, biomedical and other applications has driven the development of actuators that can mimic the flexibility and adaptability of human muscles. Several studies have explored the design and implementation of soft actuators for robotic applications, however, there is a need for soft actuators demonstrating delicate gripping capabilities but also excel in specific biomedical applications, such as therapeutic massaging. The objective of this work is to develop a multi-finger soft pneumatic actuator mimicking human fingers for Ayurvedic therapeutic massaging and gripping applications. The actuator is geometrically modeled to mimic the dexterity and flexibility of a human finger and its mechanical behavior such as bending angle and gripping force under air pressure is studied through finite element analysis (FEA). The simulation results are experimentally validated. The finger-based actuator is fabricated using liquid silicone rubber, and its performance namely, bending deformation and gripping force generated at various pressure is determined and these results are compared with the simulated test cases. The study also provides a detailed analysis of the performance of the actuator, thus providing detailed insights into its applicability in therapeutic purposes.•Human finger inspired actuators are expected to demonstrate the dexterity and flexibility of human hands, which poses challenges in its modeling and analysis.•The load carrying capacity and bending movements of the actuator is assessed using numerical method of Finite Element Analysis.•Simulation results are validated through an experimental method using force sensors and image analysis of the bending movement of the soft actuator.

Indexed as

BiomedicalFinite element methodGripperNumerical and experimental methodsPneumaticSoft actuatorSoft robotics

Identifiers

PMID39811617
PMCPMC11731513

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.