Shape-Adaptive Robotics: Programmable Morphing through SMA and SMP Integration
Qianyi Chen, Ruochen Wu, Xinhai Zhou, Dingena Schott, Jovana Jovanova · SAGE Publications · 2026
This study proposes a control strategy for integrating shape memory alloys and polymers in soft robotics for enhanced adaptability.
Plain English summary
Why this matters
Key findings
- Proposed an integrated control strategy for SMA-SMP based programmable morphing structures.
- Developed a multi-target thermal sensing method for precise control of deformations.
- Enabled coordinated actuation between SMA springs and SMP structures.
- Introduced a co-training-based monitoring system for dynamic state monitoring.
- Facilitated the use of multisensor fusion for position estimation in flexible bodies.
What's new
The integration of MTTSM with a co-training monitoring system for controlling multiple shape memory materials in soft robotics is a new approach.
Limitations
The abstract does not provide details on experimental validation or real-world applications of the proposed system.
Commercial context
The research is at a conceptual stage and lacks evidence of practical application or commercial availability.
Publication
- Publisher
- SAGE Publications
- Publication date
- March 30, 2026
- Research type
- Paper
- License
- https://journals.sagepub.com/page/policies/text-and-data-mining-license
Tags
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