A Deformable Robot Based on Shape Memory Alloy and Phase Change Metal

Junwei Zhang, Bo Yuan, Wenhui Wang · Wiley · 2026

This research presents a novel deformable robot that integrates Shape Memory Alloys and phase change metals for enhanced adaptability and locomotion.

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Plain English summary

The paper discusses a new type of deformable robot that uses Shape Memory Alloys (SMAs) and phase change metals. This design allows the robot to recover its shape after deformation, inspired by biological systems. The robot's structure is made from silicone elastomer, with SMAs providing recovery capabilities and phase change metals acting as flexible muscles for movement.

Why this matters

This research addresses the limitations of existing soft robots that cannot return to their original shape after deformation. By combining SMAs with phase change metals, the robot can adapt to various environments and perform tasks that require flexibility and recovery, which is crucial for advancements in robotics.

Key findings

  • Integration of Shape Memory Alloys and phase change metals enhances robot deformability.
  • The robot can recover its original shape after large deformations.
  • A silicone elastomer shell provides the main structure.
  • The robot can pass through apertures in its liquid phase and locomote in its solid phase.
  • Experimental validation demonstrates effective locomotion and recovery performance.

What's new

The combination of Shape Memory Alloys and phase change metals in a deformable robot design is a new approach that improves adaptability and recovery capabilities.

Limitations

The abstract does not provide details on the specific applications or potential limitations of the robot's performance in real-world scenarios.

Commercial context

The prototype has been experimentally validated, indicating potential for further development and application in robotics.

Publication

Publisher
Wiley
Publication date
July 9, 2026
Research type
Paper
License
http://onlinelibrary.wiley.com/termsAndConditions#vor

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18