Articles | Volume 14, issue 2
Research article
25 Oct 2023
Research article |  | 25 Oct 2023

Experimental study on fingertip friction perception characteristics on ridged surfaces

Liyong Wang, Li Yang, Le Li, Jianpeng Wu, and Qian Zou

Related subject area

Subject: Mechanisms and Robotics | Techniques and Approaches: Experiment and Best Practice
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Cited articles

Alam, M. M., Islam, M. T., and Rahman, S. M. M.: Unified learning approach for egocentric hand gesture recognition and fingertip detection, Pattern Recogn., 121, 108200,, 2021. 
Benoit, P. D., Ewa, J., Allan, B., Thonnard, J. L., Edin, B., and Lefevre, P.: High-resolution imaging of skin deformation shows that afferents from human fingertips signal slip onset, eLife, 10, e64679,, 2021. 
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Bok, B. G., Jang, J. S., and Kim, M. S.: Texture identification of objects using a robot fingertip module with multimodal tactile sensing capability, Appl. Sci.-Basel, 11, 5256,, 2021. 
Callier, T. and Saal, H. P.: Kinematics of unconstrained tactile texture exploration, J. Neurophysiol., 113, 3013–3020,, 2015. 
Short summary
The development of bionic skin has always been a challenging scientific research problem. A novel experimental method is proposed for investigating fingertip friction perception characteristics. The results show that the tactile perception accuracy can be improved by changing the surface texture and lubrication conditions. The method can provide peer experience for revealing tactile perception mechanisms and can also provide theoretical guidance for the research of bionic skin.