2P2-B39 Object Recognition by Universal Robot Hand with Distributed Pressure Sensor

2006 ◽  
Vol 2006 (0) ◽  
pp. _2P2-B39_1-_2P2-B39_3
Author(s):  
Hiroyuki NAKAMOTO ◽  
Satoru TAKENAWA ◽  
Kenjiro KANDA ◽  
Keisuke SHINNO ◽  
Futoshi KOBAYASHI ◽  
...  
Keyword(s):  
Object Recognition ◽  
Pressure Sensor ◽  
Robot Hand ◽  
Distributed Pressure

Improved Sensitivity Distributed Pressure Sensor Using Off-Axis Coated Single Mode Fiber

2020 ◽  
Author(s):  
N.A. Mustaffa ◽  
M.R. Mokhtar ◽  
M.F. Azman ◽  
Z. Yusoff ◽  
H.A. Abdul Rashid ◽  
...  
Keyword(s):  
Pressure Sensor ◽  
Single Mode ◽  
Single Mode Fiber ◽  
Distributed Pressure

Distributed pressure sensor with a mode-locked fiber-ring laser

2001 ◽  
Vol 26 (9) ◽  
pp. 590 ◽  
Author(s):  
Shinji Yamashita ◽  
Kazuo Hotate
Keyword(s):  
Pressure Sensor ◽  
Ring Laser ◽  
Fiber Ring Laser ◽  
Fiber Ring ◽  
Distributed Pressure

A fiber Bragg based semi distributed pressure sensor system for in-vivo vascular applications

2014 ◽  
Author(s):  
R. A. Nieuwland ◽  
L. K. Cheng ◽  
M. H. J. Lemmen ◽  
R. A. Oostenbrink ◽  
P. J. Harmsma ◽  
...  
Keyword(s):  
Pressure Sensor ◽  
Sensor System ◽  
Distributed Pressure

scholarly journals Tactile Object Recognition for Humanoid Robots Using New Designed Piezoresistive Tactile Sensor and DCNN

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6024
Author(s):  
Somchai Pohtongkam ◽  
Jakkree Srinonchat
Keyword(s):  
Object Recognition ◽  
Humanoid Robot ◽  
Sensor Array ◽  
Recognition Rate ◽  
Tactile Sensor ◽  
Humanoid Robots ◽  
Superior Performance ◽  
Robot Hand ◽  
Sensing Element ◽  
Tactile Sensor Array

A tactile sensor array is a crucial component for applying physical sensors to a humanoid robot. This work focused on developing a palm-size tactile sensor array (56.0 mm × 56.0 mm) to apply object recognition for the humanoid robot hand. This sensor was based on a PCB technology operating with the piezoresistive principle. A conductive polymer composites sheet was used as a sensing element and the matrix array of this sensor was 16 × 16 pixels. The sensitivity of this sensor was evaluated and the sensor was installed on the robot hand. The tactile images, with resolution enhancement using bicubic interpolation obtained from 20 classes, were used to train and test 19 different DCNNs. InceptionResNetV2 provided superior performance with 91.82% accuracy. However, using the multimodal learning method that included InceptionResNetV2 and XceptionNet, the highest recognition rate of 92.73% was achieved. Moreover, this recognition rate improved when the object exploration was applied to demonstrate.

Object Recognition Through Active Exploration Using a Multi-Fingered Robot Hand with 3D Tactile Sensors

2018 ◽  
Vol 2018 (0) ◽  
pp. 1P2-G16
Author(s):  
Shun OGASA ◽  
Shu MORIKUNI ◽  
Satoshi FUNABASHI ◽  
Alexander SCHMITZ ◽  
Tito Pradhono TOMO ◽  
...  
Keyword(s):  
Object Recognition ◽  
Robot Hand ◽  
Tactile Sensors ◽  
Active Exploration
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