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Textile-like soft and flexible products are widely used in our daily life. Understanding the relationship between the tactilesensations of textiles and the tactile stimuli is essential for developing humanoid robot’s finger haptic system, especiallyfor certain kind of robot systems such as service robots and exploratory robots. This paper built a frequency space thatcan qualitatively represent a roughness sensation of textiles by a developing independently random match algorithm incombination with neurophysiological features of cutaneous mechanoreceptors. The experimental results show that thesum of amplitude in frequency range between 18 and 118 Hz can effectively describe the roughness sensory of textilewith accuracies of 98.5%. In other words, by applying the sum of amplitude in frequency range between 18 and 118 Hzcould successfully match roughness sensation of textiles, and it will help engineer of humanoid robot design manipulatorfinger haptic system in textile field.