Evidence map›Paper›PMID 40285053›Full record

ArticleSensors (Basel, Switzerland)2025

Three-Chamber Actuated Humanoid Joint-Inspired Soft Gripper: Design, Modeling, and Experimental Validation.

Yinlong Zhu, Qin Bao, Hu Zhao, Xu Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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
–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

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

4 authors.

Yinlong ZhuCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0003-4574-3900
Qin BaoCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Hu ZhaoCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.
Xu WangCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0002-0680-6908

Funding

Jiangsu Province 'six talent peaks' high-level talent project GDZB-024National Natural Science Foundation of China funded projects 61901221、51305209Natural Science Research Project for Higher Education Institutions in Jiangsu Province 18KJA4600050
6 · The paper itself

Abstract

To address the limitations of single-chamber soft grippers, such as constant curvature, insufficient motion flexibility, and restricted fingertip movement, this study proposes a soft gripper inspired by the structure of the human hand. The designed soft gripper consists of three fingers, each comprising three soft joints and four phalanges. The air chambers in each joint are independently actuated, enabling flexible grasping by adjusting the joint air pressure. The constraint layer is composed of a composite material with a mass ratio of 5:1:0.75 of PDMS base, PDMS curing agent, and PTFE, which enhances the overall finger stiffness and fingertip load capacity. A nonlinear mathematical model is established to describe the relationship between the joint bending angle and actuation pressure based on the constant curvature assumption. Additionally, the kinematic model of the finger is developed using the D-H parameter method. Finite element simulations using ABAQUS analyze the effects of different joint pressures and phalange lengths on the grasping range, as well as the fingertip force under varying actuation pressures. Bending performance and fingertip force tests were conducted on the soft finger actuator, with the maximum fingertip force reaching 2.21 N. The experimental results show good agreement with theoretical and simulation results. Grasping experiments with variously sized fruits and everyday objects demonstrate that, compared to traditional single-chamber soft grippers, the proposed humanoid joint-inspired soft gripper significantly expands the grasping range and improves grasping force by four times, achieving a maximum grasp weight of 0.92 kg. These findings validate its superior grasping performance and potential for practical applications.

Indexed as

Hand StrengthBiomechanical PhenomenaEquipment DesignFinger JointFingersFinite Element AnalysisHumansbending characteristicsfinite element simulationhumanoid joint actuatorsoft gripper

Identifiers

PMID40285053
PMCPMC12030856

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.