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Profile-based Roughness Discrimination with Pen-type Texture Sensor
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  • Profile-based Roughness Discrimination with Pen-type Texture Sensor
  • Profile-based Roughness Discrimination with Pen-type Texture Sensor
저자명
Ye. Xianming,Choi. Bynng-June,Kang. Sung-Chul,Choi. Hyouk-Ryeol
간행물명
International Journal of Control, Automation and Systems
권/호정보
2010년|8권 4호|pp.793-800 (8 pages)
발행정보
제어로봇시스템학회
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정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Tactile discriminations of surface roughness using artificial sensors have been challenging. The modeling methods and parameters that have been using to describe the mechanical properties of rough surface are insufficient for haptic roughness. This paper proposes a method to characterize surface roughness based on the profiles of the surface. A compact handheld pen-type texture sensor with a right probe is developed for the measurement of surface profiles. Based on the contact force and the motion of the senor, profiles in the paths of scanning are estimated. The height variations of a profile are converted to a series of tactile stimuli to represent the contact stimulations in haptic explorations. The mean and the standard deviation of the amplitudes of stimuli are identified as haptic features that indicate the required tangential force to slide on the rough surface and how rough the surface is, respectively. Experiments show that the roughness on four kinds of sandpapers can he clearly distinguished by the proposed discrimination method.