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Flexible, super-resolution skin with in-sensor hyperdimensional computing for real-time pressure field perception
Fan Zhang1,2,3, Zhangyu Xu1,2,3, Chao Hou1,2,3
1State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.
Science Advances
|June 12, 2026
Summary
This study presents a flexible electronic skin with sparse sensing and in-sensor computing for high-resolution surface pressure mapping. This innovation enables efficient, on-device analysis for applications like unmanned aerial vehicle flight control.
Area of Science:
- Materials Science
- Robotics
- Computer Science
Background:
- High-resolution surface pressure measurement is vital for unmanned systems, but conventional methods are costly and resource-intensive.
- Existing solutions require dense sensor arrays or external computation, limiting real-time analysis and efficiency.
Purpose of the Study:
- To develop a flexible electronic skin with integrated in-sensor computing for super-resolution surface pressure sensing.
- To enable on-device, real-time analysis and learning for precise state assessment of unmanned systems.
Main Methods:
- Integration of a sparse sensing network with numerical hyperdimensional computing within a flexible electronic skin.
- Development of in-sensor learning capabilities that overcome limitations of traditional vector symbolic architectures.
Main Results:
- Achieved super-resolution sensing with an enhancement factor of 5.517, drastically reducing power consumption (~0.09 mW) and memory usage (~32 KB).
- Reduced interconnects by 91.5% compared to high-density arrays, enabling rapid, on-device processing with low latency (~10 ms).
Conclusions:
- The developed electronic skin offers a highly efficient and effective solution for super-resolution pressure sensing.
- This technology significantly enhances the capabilities of unmanned systems, demonstrated through application in unmanned aerial vehicle flight control.
