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Related Experiment Video

Updated: Jun 28, 2025

Fabrication of Soft Pneumatic Network Actuators with Oblique Chambers

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Published on: August 17, 2018

Simultaneous rotary and linear displacement sensor based on soft pneumatic sensing chambers.

Alireza Ghaffari¹, Yousef Hojjat²

¹Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran.

Scientific Reports

|April 9, 2024

Summary

This study presents a novel soft sensor using Soft Pneumatic Sensing Chambers (SPSCs) for simultaneous linear and rotational displacement measurement. Its electromagnetic compatibility and flexibility suit challenging environments and body-interacting applications.

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Area of Science:

Robotics and Mechatronics
Sensor Technology
Biomedical Engineering

Background:

Industrial and research applications require specialized displacement sensors, especially in environments with strong electromagnetic interference (EMI) and spatial constraints.
Traditional sensors often fail in high-EMI conditions due to metallic components or electrical principles, and multidimensional measurements are limited.
There is a need for flexible, compact, and electromagnetically compatible sensors capable of simultaneous multi-directional displacement measurement.

Purpose of the Study:

To introduce a novel soft sensor capable of simultaneously measuring linear and rotational displacements.
To design a sensor with Electro-Magnetic Compatibility (EMC) for use in high-EMI environments.
To develop a flexible sensor suitable for space-constrained and body-interacting applications.

Main Methods:

Development of a novel soft sensor utilizing Soft Pneumatic Sensing Chambers (SPSCs).
Optimization of sensor operating parameters using Abaqus software.
Performance assessment through laboratory setup, mathematical modeling, and machine learning calibration.

Main Results:

The soft sensor demonstrated simultaneous measurement of linear and rotational displacements.
Achieved an accuracy of 0.49 mm for linear and 5.4° for rotational displacement.
Attained a Root Mean Square Error (RMSE) of 0.05 mm and 0.48° respectively, validated by machine learning.

Conclusions:

The developed SPSC-based soft sensor is effective for simultaneous linear and rotational displacement measurement.
The sensor's EMC, compact size, and flexibility make it suitable for challenging industrial, research, and body-interacting applications.
Machine learning calibration provides a highly accurate method for assessing sensor performance.