A Tangentially Sensitive Tactile Sensor Reveals the Stick‐Slip Mechanism and Enhances Robotic Tactile Sensing
The mechanism of human tactile perception offers inspiration for developing a high-performance artificial sensory system. Pacinian corpuscles (PCs) allowing high-frequency tangential sensitivity that endows humans with the ability to perceive multidimensional tactile stimuli. However, replicating similar high-frequency and tangential perception as that of PCs in artificial systems remains a significant challenge. Here, an artificial PC (APC) from ultralight aerogel with a multilayer-stacked and anisotropic structure analogous to that of PC via a multi-directional freeze-drying method is reported. The APC sensor with radial-axial anisotropy exhibits tangential sensitivity (1022 kPa<sup>-1</sup>), detects multidimensional tactile stimuli, and identifies stick-slip states with high precision. By mimicking PC clusters, the APC sensor system achieves spatiotemporal sensing capabilities for discriminating frictional patterns (static, sliding, or rolling) and tracking slip. A robot equipped with the APC sensory system possesses enhanced tactile perception for diverse tactile events in active (100% accuracy) and passive (98.18% accuracy) interaction with humans. It is found that high-frequency components are crucial for stick-slip detection, providing insights into the underlying tangential tactile sensing mechanisms of PCs. The work exemplifies a bidirectional enhancement of understanding between technological innovation and biological mechanisms.
Authors
- Jieyi Guo
- Changjiang Dong (ORCID: https://orcid.org/0000-0002-7020-5648)
- Linyuan Fan
- Xiaofeng Qiao (ORCID: https://orcid.org/0000-0001-7320-0239)
- Yujiao Du
- Yubo Fan (ORCID: https://orcid.org/0000-0002-3480-4395)
- Xiaoyu Liu (ORCID: https://orcid.org/0000-0001-7854-4866)
- Lizhen Wang (ORCID: https://orcid.org/0000-0002-9658-659X)
- Jinghui Wang (ORCID: https://orcid.org/0000-0001-7379-0267)
- Min Tang (ORCID: https://orcid.org/0000-0002-0885-863X)
- Yuanjie Zhu
- Yepu Chen
- Zhiyang Zhang (ORCID: https://orcid.org/0009-0004-4057-7098)
Institutions
- Ministry of Industry and Information Technology (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1002/advs.202517884
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Higher Education Discipline Innovation Project