A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv · Wiley · 2026
This research presents a framework for active and programmable shape-morphing soft matter systems, enhancing soft robotics capabilities.
Plain English summary
Why this matters
Key findings
- Proposed a framework for active and programmable shape-morphing soft matter systems.
- Utilized liquid crystal elastomers and conductive constraint strips for actuation.
- Developed an inverse design strategy for complex target surfaces.
- Integrated shape memory polymers and sensors for enhanced functionality.
- Demonstrated application in a flapping-wing robot for adaptive wing regulation.
What's new
The framework combines addressable actuation with a design strategy for complex morphologies, integrating physical and computational intelligence in soft robotics.
Limitations
The abstract does not provide details on the scalability or practical applications beyond the flapping-wing robot demonstration.
Commercial context
The research is still in the laboratory phase and has not yet been demonstrated in commercial applications.
Publication
- Publisher
- Wiley
- Publication date
- June 22, 2026
- Research type
- Paper
- License
- http://creativecommons.org/licenses/by/4.0/
Tags
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