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Rod-based Fabrication of Customizable Soft Robotic Pneumatic Gripper Devices for Delicate Tissue Manipulation

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Published on: August 2, 2016

Untethered Soft Pneumatic Actuators with Embedded Multiple Sensing Capabilities.

Xingmiao Fang¹, Kun Wei¹, Runhuai Yang¹

¹Department of Biomedical Engineering, Anhui Medical University, Hefei, China.

|November 10, 2023

Summary

This summary is machine-generated.

This study presents a novel untethered soft pneumatic actuator. It utilizes near-infrared light for actuation and integrates flexible sensors for bending and temperature monitoring, advancing intelligent soft robotics.

Keywords:

DLP 3D printing embedded sensing soft pneumatic actuator untethered drive

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Area of Science:

Robotics
Materials Science
Biomedical Engineering

Background:

Pneumatic soft robots offer unique advantages for medical applications.
Developing completely untethered intelligent soft robots remains a significant challenge.
Existing soft robots often lack integrated sensing and untethered capabilities.

Purpose of the Study:

To introduce a novel untethered soft pneumatic actuator with embedded sensing.
To demonstrate a new method for untethered actuation using near-infrared light.
To develop flexible sensors for enhanced soft robot functionality.

Main Methods:

Fabrication of a soft pneumatic actuator using Digital Light Processing (DLP) 3D printing.
Development of a soft conductive resin for flexible sensor integration.
Utilizing near-infrared-induced liquid-gas phase transition for untethered actuation.

Main Results:

Successfully created an untethered soft pneumatic actuator with embedded bending and temperature sensors.
Demonstrated rapid fabrication of the soft actuator and sensors via DLP 3D printing.
The integrated sensors provide real-time feedback on actuator state.

Conclusions:

The developed untethered soft actuator with multiple sensing capabilities represents a significant advancement.
This technology holds great potential for the future of completely untethered intelligent soft robots.
The approach facilitates more sophisticated and autonomous soft robotic systems.