scholarly journals Surface texture detection with artificial fingers

2015 ◽  
Author(s):  
N.H.H. Mohamad Hanif ◽  
Paul H. Chappell ◽  
Andy Cranny ◽  
Neil M. White
Keyword(s):  
Surface Texture ◽  
Texture Detection

3D-conductive pathway written on leather for highly sensitive and durable electronic whisker

2020 ◽  
Vol 8 (28) ◽  
pp. 9748-9754
Author(s):  
Ruijie Xie ◽  
Jingyu Zhu ◽  
Haibo Wu ◽  
Kang Zhang ◽  
Binghua Zou ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Surface Texture ◽  
Conductive Ink ◽  
Height Difference ◽  
Conductive Pathway ◽  
Highly Sensitive ◽  
Distribution Mapping ◽  
Texture Detection ◽  
Wind Mapping

A leather-based e-whisker with 3D conductive pathway was assembled by writing conductive ink on leather. The sensor possessed good durability, and was sensitive enough to detect a height difference of 50 μm, making it capable of surface texture detection, spatial distribution mapping, wind mapping, etc.

scholarly journals Surface Texture Detection With a New Sub-mm Resolution Flexible Tactile Capacitive Sensor Array for Multimodal Artificial Finger

2020 ◽  
Vol 29 (5) ◽  
pp. 629-636
Author(s):  
Edoardo Sotgiu ◽  
Diogo E. Aguiam ◽  
Carlos Calaza ◽  
Jose Rodrigues ◽  
Jose Fernandes ◽  
...  
Keyword(s):  
Surface Texture ◽  
Sensor Array ◽  
Capacitive Sensor ◽  
Texture Detection

Surface Texture Detection for Composite Material Placement Based on Vision

2011 ◽  
Vol 186 ◽  
pp. 16-20
Author(s):  
Wen Chen ◽  
Li Cao ◽  
Jun Xiao ◽  
Sheng Guo Huang
Keyword(s):  
Surface Texture ◽  
Median Filter ◽  
Analysis Method ◽  
Centre Of Mass ◽  
Directional Information ◽  
Segmentation Quality ◽  
Automatic Placement ◽  
Texture Detection ◽  
The Stability ◽  
Reflection Characteristics

This paper presents a texture direction analysis method combing image segmentation and filtering, which makes use of the optical reflection characteristics of composite material’s surface texture. Firstly, segment the image using the centre of mass of the two-dimensional histogram; secondly, the binary image is smoothed by a median filter to improve texture directional information. Experimental results show that the proposed method is outstanding in segmentation quality, so it could meet the stability requirements in automatic placement.

Influence of Vibrissa Morphology on Artificial Tactile Sensors for Surface Texture Detection

PAMM ◽  
2017 ◽  
Vol 17 (1) ◽  
pp. 219-220
Author(s):  
Moritz Scharff ◽  
Joachim Steigenberger ◽  
Carsten Behn ◽  
Jorge Alencastre
Keyword(s):  
Surface Texture ◽  
Tactile Sensors ◽  
Texture Detection

Improvement of die life with surface texture control and solid lubricant

2012 ◽  
Vol 67 (2) ◽  
pp. 153-157 ◽  
Author(s):  
O. Furukimi ◽  
M. Aramaki ◽  
K. Abe ◽  
H. Fukaura ◽  
N. Yamada
Keyword(s):  
Surface Texture ◽  
Solid Lubricant ◽  
Die Life
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