Multifunctional biomimetic tactile system via a stick-slip sensing strategy for human–machine interactions

Yue Li, Manjun Zhao, Yadong Yan, Luanxi He, Yingyi Wang, Zuoping Xiong, Shuqi Wang, Yuanyuan Bai, Fuqin Sun, Qifeng Lu, Yu Wang, Tie Li*, Ting Zhang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)


A tactile sensor system enables natural interaction between humans and machines; this interaction is crucial for dexterous robotic hands, interactive entertainment, and other smart scenarios. However, the lack of sliding friction detection significantly limits the accuracy and scope of interactions due to the absence of sophisticated information, such as slippage, material and roughness of held objects. Here, inspired by the stick-slip phenomena in the sliding process, we have developed a multifunctional biomimetic tactile system based on the stick-slip sensing strategy, which is a universal method to detect slippage and estimate the surface properties of objects by sliding. This system consists of a flexible fingertip-inspired tactile sensor, a read-out circuit and a machine-learning module. Based on the stick-slip sensing strategy, our system was endowed with high recognition rates for slippage detection (100.0%), material classification (93.3%) and roughness discrimination (92.8%). Moreover, robotic hand manipulation, interactive games and object classification are demonstrated with this multifunctional system for comprehensive and promising human–machine interactions.

Original languageEnglish
Article number46
Journalnpj Flexible Electronics
Issue number1
Publication statusPublished - Dec 2022


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