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Updated: Jan 10, 2026

A Tactile Automated Passive-Finger Stimulator TAPS
Published on: June 3, 2009
A Tangentially Sensitive Tactile Sensor Reveals the Stick-Slip Mechanism and Enhances Robotic Tactile Sensing
Jinghui Wang1, Xiaoyu Liu1, Yujiao Du1
1Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology, National Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering), School of Biological Science and Medical Engineering, Hangzhou International Innovation Institute, Beihang University, Beijing, 100191, China.
Abstract:
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-1), 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.

