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A fabrication strategy for millimeter-scale, self-sensing soft-rigid hybrid robots
Hun Chan Lee1, Nash Elder1, Matthew Leal2
1Department of Mechanical Engineering, Boston University, Boston, MA, USA.
Nature Communications
|September 30, 2024
Summary
This study introduces a scalable fabrication method for millimeter-scale soft-rigid hybrid robots, simplifying component integration. This innovation enables self-sensing robots with versatile motions for complex tasks.
Area of Science:
- Robotics
- Materials Science
- Microfabrication
Background:
- Traditional soft robot assembly is time-consuming and inconsistent, particularly for micro-scale devices.
- Integrating actuators, sensors, and controllers manually presents significant challenges in fabrication.
- Existing methods lack scalability and monolithic integration for complex soft robotic systems.
Purpose of the Study:
- To develop a scalable, monolithic fabrication method for millimeter-scale soft-rigid hybrid robots.
- To simplify the integration of essential hardware components like actuators and sensors.
- To enable self-sensing capabilities and versatile motion control in micro-robots.
Main Methods:
- Fabrication of soft-rigid hybrid robotic modules using a monolithic approach.
- Actuation via soft-foldable polytetrafluoroethylene film actuators powered by ionic fluid injection.
- Integration of a mechanical controller using rigid-flexible materials for motion encoding.
- Self-sensing using an ionic resistive sensor to detect electrical resistance changes.
- Assembly of distinct modules into a continuum robot with shape-sensing capabilities.
Main Results:
- Successful fabrication of three distinct soft-rigid hybrid robotic modules with translational, bending, and roto-translational degrees of freedom.
- Demonstration of a soft-rigid hybrid continuum robot capable of real-time shape-sensing.
- Validation of the robot's utility in tasks such as object manipulation, needle steering, and optical fiber guidance.
Conclusions:
- The presented monolithic fabrication method offers a scalable and efficient approach for creating integrated soft-rigid hybrid robots.
- The developed system demonstrates potential for advanced applications requiring precise control and real-time feedback, such as minimally invasive surgery and micro-manipulation.
- This work paves the way for more complex and autonomous micro-robotic systems through simplified fabrication and enhanced functionality.

