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An Easy-to-Implement Toolkit to Create Versatile and High-Performance HASEL Actuators for Untethered Soft Robots
Shane K Mitchell1, Xingrui Wang1,2, Eric Acome1
1Department of Mechanical Engineering University of Colorado Boulder Boulder CO 80309 USA.
This study presents a toolkit for creating muscle-like soft actuators called hydraulically amplified self-healing electrostatic (HASEL) actuators. These actuators offer high performance, enabling advanced soft robots with applications in delicate object manipulation.
Area of Science:
- Soft robotics
- Materials science
- Actuator technology
Background:
- Soft robots require actuators with muscle-like performance, low cost, and ease of fabrication for widespread adoption.
- Existing soft actuators often struggle to meet the demands of complex applications.
Purpose of the Study:
- To introduce a comprehensive toolkit for rapid prototyping, manufacturing, testing, and powering of hydraulically amplified self-healing electrostatic (HASEL) actuators.
- To enable a broader audience to explore and utilize HASEL technology for soft robotics.
Main Methods:
- Development of a toolkit using accessible methods, inexpensive fabrication tools, commodity materials, and off-the-shelf high-voltage electronics.
- Introduction of an efficient fabrication technique for modular HASEL actuator designs.
- Integration of HASEL actuators into soft robotic devices powered by portable electronics.
Main Results:
- HASEL actuators achieved linear strains exceeding 100% and specific power greater than 150 W kg⁻¹.
- Actuators demonstrated ≈20% strain at frequencies above 100 Hz, enabling jumping without power amplification.
- Development of an untethered continuum robot capable of grasping and manipulating delicate objects.
Conclusions:
- The introduced toolkit and fabrication methods facilitate the creation of high-performance, muscle-like soft actuators.
- The developed HASEL actuators enable sophisticated soft robotic applications, including untethered manipulation.
- This work significantly advances the potential for ubiquitous adoption of soft robots.
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