scholarly journals A Large Area Tactile Sensor Patch Based on Commercial Force Sensors

Sensors ◽  
2011 ◽  
Vol 11 (5) ◽  
pp. 5489-5507 ◽  
Author(s):  
Fernando Vidal-Verdú ◽  
Maria Jose Barquero ◽  
Julián Castellanos-Ramos ◽  
Rafael Navas-González ◽  
Jose Antonio Sánchez ◽  
...  
Keyword(s):  
Tactile Sensor ◽  
Force Sensors ◽  
Large Area

All MoS2-Based Large Area, Skin-Attachable Active-Matrix Tactile Sensor

ACS Nano ◽  
2019 ◽  
Vol 13 (3) ◽  
pp. 3023-3030 ◽  
Author(s):  
Yong Ju Park ◽  
Bhupendra K. Sharma ◽  
Sachin M. Shinde ◽  
Min-Seok Kim ◽  
Bongkyun Jang ◽  
...  
Keyword(s):  
Tactile Sensor ◽  
Large Area ◽  
Active Matrix

Flexible Force Sensors Using Fiber Bragg Grating

2006 ◽  
Vol 326-328 ◽  
pp. 1343-1346
Author(s):  
Jin Seok Heo ◽  
Jong Ha Cheung ◽  
Jung Ju Lee
Keyword(s):  
Optical Fiber ◽  
Normal Force ◽  
Fiber Bragg Gratings ◽  
Tactile Sensor ◽  
Optical Fiber Sensors ◽  
Force Sensors ◽  
Fiber Sensors ◽  
Light Loss ◽  
Bridge Type ◽  
Type Transducer

In this paper, we present a newly designed flexible optical fiber force sensors which use fiber Bragg gratings and diaphragm and bridge type transducer, to detect a distributed normal force and which is the first step toward realizing a tactile sensor using optical fiber sensors (FBG). The transducer is designed such that it is not affected by chirping and light loss to enhance the performance of the sensors. We also present the design and fabrication process and experimental verification of the prototype sensors.

A Large‐Area, Stretchable, Textile‐Based Tactile Sensor

2020 ◽  
Vol 5 (4) ◽  
pp. 1901060 ◽  
Author(s):  
Youzhi Zhang ◽  
Zhengkang Lin ◽  
Xingping Huang ◽  
Xiaojun You ◽  
Jinhua Ye ◽  
...  
Keyword(s):  
Tactile Sensor ◽  
Large Area

scholarly journals Large‐Area Piezoresistive Tactile Sensor Developed by Training a Super‐Simple Single‐Layer Carbon Nanotube‐Dispersed Polydimethylsiloxane Pad

2021 ◽  
pp. 2100123
Author(s):  
Min-Young Cho ◽  
Jin-Woong Lee ◽  
Chaewon Park ◽  
Byung Do Lee ◽  
Joon Seok Kyeong ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Single Layer ◽  
Tactile Sensor ◽  
Large Area

Biomimetic Tactile Sensor

2007 ◽  
Author(s):  
Nicholas Wettels ◽  
Djordje Popovic ◽  
Gerald E. Loeb
Keyword(s):  
Tactile Sensor ◽  
Robotic Manipulators ◽  
Human Hand ◽  
Force Sensors ◽  
Tactile Information ◽  
Prosthetic Hands ◽  
Sharp Edges

The performance of prosthetic hands and robotic manipulators is severely limited by their having little or no tactile information compared to the human hand. Technologies such as MEMS, microfluidics, and nanoparticles have been used to produce arrays of force sensors, but these are generally not robust enough to mount on curved, deformable finger pads or to use in environments that include dust, fluids, sharp edges and wide temperature swings. Furthermore, it is not clear how the prosthetic controller will use the tactile information, so it is difficult to generate specifications for these sensors.

scholarly journals A Piezoresistive Tactile Sensor for a Large Area Employing Neural Network

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 27 ◽  
Author(s):  
Youzhi Zhang ◽  
Jinhua Ye ◽  
Zhengkang Lin ◽  
Shuheng Huang ◽  
Haomiao Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Indium Tin Oxide ◽  
Lower Layer ◽  
Layer Structure ◽  
Rbf Neural Network ◽  
Tactile Sensor ◽  
Information Support ◽  
External Information ◽  
Large Area ◽  
Contact Position

Electronic skin is an important means through which robots can obtain external information. A novel flexible tactile sensor capable of simultaneously detecting the contact position and force was proposed in this paper. The tactile sensor had a three-layer structure. The upper layer was a specially designed conductive film based on indium-tin oxide polyethylene terephthalate (ITO-PET), which could be used for detecting contact position. The intermediate layer was a piezoresistive film used as the force-sensitive element. The lower layer was made of fully conductive material such as aluminum foil and was used only for signal output. In order to solve the inconsistencies and nonlinearity of the piezoresistive properties for large areas, a Radial Basis Function (RBF) neural network was used. This includes input, hidden, and output layers. The input layer has three nodes representing position coordinates, X, Y, and resistor, R. The output layer has one node representing force, F. A sensor sample was fabricated and experiments of contact position and force detection were performed on the sample. The results showed that the principal function of the tactile sensor was feasible. The sensor sample exhibited good consistency and linearity. The tactile sensor has only five lead wires and can provide the information support necessary for safe human—computer interactions.

Large-Area, Crosstalk-Free, Flexible Tactile Sensor Matrix Pixelated by Mesh Layers

2021 ◽  
Author(s):  
Kyubin Bae ◽  
Jinho Jeong ◽  
Jongeun Choi ◽  
Soonjae Pyo ◽  
Jongbaeg Kim
Keyword(s):  
Tactile Sensor ◽  
Large Area

A New Highly Sensitive Dielectric Slip Detection Sensor for a Robotic Operation

2017 ◽  
Author(s):  
Sung Joon Kim ◽  
Ja Choon Koo
Keyword(s):  
Tactile Sensor ◽  
Relative Displacement ◽  
Large Area ◽  
Tactile Sensors ◽  
Post Process ◽  
Highly Sensitive ◽  
Grasping And Manipulation ◽  
Working Principle ◽  
Slip Detection

For dexterous grasping and manipulation, tactile sensors recognizing contact object are essential. Electronic skin (E-skin) with tactile sensors plays a role as both receiving information for grasping and protecting robot frame. This paper presents a polymer tactile sensor covering large area to fulfill role of E-skin. The sensor has a thin air gap between polymer layers and it is deformed reacting slip input. When slip is occurred, there is relative displacement between surrounding layer and it incurs change of electrode separation. NBR is used to sensor substrate because of its tough and flexible characteristic. Ultrathin aluminum tape is employed for electrodes. There is a changeability of size of the sensor because of its simple but effective working principle and structure. Slip detecting algorithm doesn’t have a post process such as FFT or DWT, so there isn’t delay for processing time. It realizes real-time slip detection reducing reaction time of robot hand.

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