Related Experiment Video
Updated: Sep 23, 2025

07:49
Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation
Published on: August 2, 2016
8.9K
Deformation Modeling and Simulation of a Novel Bionic Software Robotics Gripping Terminal Driven by Negative Pressure
Yinuo Chen1, Ligang Yao1, Zhenya Wang1
1School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Computational Intelligence and Neuroscience
|May 16, 2022
Summary
This study introduces a novel pneumatic soft gripper, validated by a mathematical model and experiments. The gripper demonstrates adaptability for various objects, clamping items up to 1kg with high precision.
Area of Science:
- Robotics
- Materials Science
- Mechanical Engineering
Background:
- Pneumatic soft grippers offer compliant manipulation capabilities.
- Modeling and experimental validation are crucial for optimizing soft gripper performance.
Purpose of the Study:
- To develop and validate a mathematical model for the bending deformation of a pneumatic soft gripper.
- To investigate the material properties of silicone rubber for soft gripper applications.
- To select an optimal gripper design for various clamping tasks.
Main Methods:
- Established a mathematical model using Yeoh constitutive model and differential geometry.
- Determined material constants via uniaxial tensile tests.
- Simulated gripper performance using ABAQUS software.
- Conducted bending deformation experiments.
Main Results:
- The mathematical model achieved a relative error of no more than 3.5% compared to simulation data.
- Experimental maximum deformation angle reached 72.4°.
- The selected gripper design demonstrated adaptability for objects ranging from 0.1 mm to 1 kg.
Conclusions:
- The developed mathematical model accurately predicts soft gripper bending deformation.
- The proposed pneumatic soft gripper exhibits excellent adaptability and clamping capabilities.
- The study validates the integration of theoretical modeling, simulation, and experimentation for soft robotic systems.

