Fish‐Scale‐Inspired Giant Piezocapacitive Sensors for Human‐Level Touch Perception
Achieving human-level touch perception in robotics requires flexible sensors that combine a low detection limit, rapid response, robust reliability, and ease of fabrication. Yet, integrating these diverse characteristics into a single device remains a formidable challenge. This work presents a giant piezocapacitive sensor (GPCS) that matches human touch perception capabilities, based on a fish-scale-inspired electric-field gating film. This mechanically compliant and robust biomimetic film consists of high-permittivity rigid scales separated by air gaps within an elastomer matrix, resulting in a high bulk permittivity. These gaps act as electric-field gates that modulate the fringing electric field between electrode pairs, translating subtle mechanical deformations into substantial capacitance changes. Consequently, the GPCS achieves an exceptional bidirectional bending resolution of 0.005° over a range of ± 90° with a response time of 0.6 ms, showing no performance degradation in a 100 000-cycle bending test. This performance enables the precise discrimination of 16 fabric textures and the detection of surface topographies as fine as 1.8 µm-sufficient to resolve printed toner lines on paper. Finally, a GPCS array is integrated onto a robotic gripper, demonstrating in situ ripeness evaluation of kiwis during grasping, automated fruit sorting, and intuitive human-robot interactions.
Authors
- Houping Wu (ORCID: https://orcid.org/0000-0002-9019-7358)
- Yulian Peng (ORCID: https://orcid.org/0009-0007-0147-6843)
- Junhua Zhang (ORCID: https://orcid.org/0000-0002-8936-3822)
- Zelong Li (ORCID: https://orcid.org/0000-0002-5322-5065)
- Yueyang Wang (ORCID: https://orcid.org/0000-0002-7089-5183)
- S Wang
- Hongbo Wang (ORCID: https://orcid.org/0000-0002-6546-1241)
Institutions
- University of Science and Technology of China (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2026-05-29
- DOI
- https://doi.org/10.1002/adma.73528
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities