MEASUREMENT OF QUANTUM TUNNELING COMPOSITE RESISTIVITY CHARACTERISTICS FOR TACTILE SENSING APPLICATIONS

2015 ◽  
Vol 76 (4) ◽  
Author(s):  
Ahsana Aqilah Ahmad ◽  
Cheng Yee Low ◽  
Nurul Muthmainnah ◽  
Ahmed Jaffar

This paper presents the work of investigating the used of Quantum Tunneling Composites (QTC) Pills as a tactile sensor material. The QTC Pills was tested for their resistivity characteristics to determine the sensor sensitivity, time of response and its allowable working range. The experiments were conducted base on the two parameters; the voltage, and the separation gap against the force/ load that exerted onto the QTC Pills. The results show that with a 5 V supply voltage and 0.5 mm separation gap of a side-by-side sensor construction, the usage of the QTC Pills as a tactile sensor can be optimized. Besides that the resistivity values established from the repeated experiment using QTC Pills produce the similar value and result. This makes the material suitable to be used as a tactile sensor material for the robotic hand.

2019 ◽  
Vol 297 ◽  
pp. 111512 ◽  
Author(s):  
Yancheng Wang ◽  
Xin Wu ◽  
Deqing Mei ◽  
Lingfeng Zhu ◽  
Jianing Chen

2012 ◽  
Vol 1410 ◽  
Author(s):  
J. Ian McKelvey ◽  
Arpad Kormendy ◽  
L.P. Felipe Chibante

ABSTRACTA carbon nanotube polymer composite has been used to develop a flexible multi-touch tactile sensor device. Rather than employing the inherent bulk piezoresistive properties of the composite, the contact resistance between polymer and electrode was exploited to achieve finger pressure measurement with fast response. We have synthesized a series of multi-walled nanotube (MWNT) silicone composites to test the feasibility of a force sensor based on the change in surface contact resistance as a function of applied force. A single layer MWNT/polydimethyl-siloxane (PDMS) composite in the range of 1.5-3.0 % w/w nanotubes was employed as a force sensor material in an array of electrodes. It was determined that sensors based on these materials are viable as tactile sensing systems for finger-touch forces in the range of 1-100 N.


2011 ◽  
Vol 08 (03) ◽  
pp. 181-195
Author(s):  
ZHAOXIAN XIE ◽  
HISASHI YAMAGUCHI ◽  
MASAHITO TSUKANO ◽  
AIGUO MING ◽  
MAKOTO SHIMOJO

As one of the home services by a mobile manipulator system, we are aiming at the realization of the stand-up motion support for elderly people. This work is charaterized by the use of real-time feedback control based on the information from high speed tactile sensors for detecting the contact force as well as its center of pressure between the assisted human and the robot arm. First, this paper introduces the design of the tactile sensor as well as initial experimental results to show the feasibility of the proposed system. Moreover, several fundamental tactile sensing-based motion controllers necessary for the stand-up motion support and their experimental verification are presented. Finally, an assist trajectory generation method for the stand-up motion support by integrating fuzzy logic with tactile sensing is proposed and demonstrated experimentally.


Robotica ◽  
1983 ◽  
Vol 1 (4) ◽  
pp. 217-222 ◽  
Author(s):  
Gen-Ichiro Kinoshita

SUMMARYThe tactile sensor is constructed as a part of the finger of a parallel jaw hand; it is of the size of a finger and allows for a large displacement of the sensor element in response to force. The structure of the tactile sensor incorporates 20 successively and closely aligned elements, which allow for a 2.5 mm maximum displacement for each element. In the described experiments we present the capabilities of the tactile sensor. The tactile sensor has the functions of: 1) discriminating the shape of the partial surface of an object; and 2) tracing by finger on the surface along the profile of an object.


Author(s):  
Wataru Fukui ◽  
Futoshi Kobayashi ◽  
Fumio Kojima ◽  
Hiroyuki Nakamoto ◽  
Tadashi Maeda ◽  
...  

Author(s):  
Bin Fang ◽  
Fuchun Sun ◽  
Chao Yang ◽  
Hongxiang Xue ◽  
Wendan Chen ◽  
...  
Keyword(s):  

2019 ◽  
Vol 6 (10) ◽  
pp. 2003-2008 ◽  
Author(s):  
Zhidong Ma ◽  
Jinyu Zhou ◽  
Jiachi Zhang ◽  
Songshan Zeng ◽  
Hui Zhou ◽  
...  

An intriguing mechanics-induced triple-mode anticounterfeiting device and a moving tactile sensor were developed by simultaneously utilizing transient and persistent mechanoluminescence.


2020 ◽  
Vol 17 (4) ◽  
pp. 172988142093232
Author(s):  
Bing Zhang ◽  
Bowen Wang ◽  
Yunkai Li ◽  
Shaowei Jin

Tactile information is valuable in determining properties of objects that are inaccessible from visual perception. A new type of tangential friction and normal contact force magnetostrictive tactile sensor was developed based on the inverse magnetostrictive effect, and the force output model has been established. It can measure the exerted force in the range of 0–4 N, and it has a good response to the dynamic force in cycles of 0.25–0.5 s. We present a tactile perception strategy that a manipulator with tactile sensors in its grippers manipulates an object to measure a set of tactile features. It shows that tactile sensing system can use these features and the extreme learning machine algorithm to recognize household objects—purely from tactile sensing—from a small training set. The complex matrixes show the recognition rate is up to 83%.


2013 ◽  
Vol 465-466 ◽  
pp. 1375-1379
Author(s):  
Hanafiah Yussof ◽  
Zahari Nur Ismarrubie ◽  
Ahmad Khushairy Makhtar ◽  
Masahiro Ohka ◽  
Siti Nora Basir

This paper presents experimental results of object handling motions to evaluate tactile slippage sensation in a multi fingered robot arm with optical three-axis tactile sensors installed on its two hands. The optical three-axis tactile sensor is a type of tactile sensor capable of defining normal and shear forces simultaneously. Shear force distribution is used to define slippage sensation in the robot hand system. Based on tactile slippage analysis, a new control algorithm was proposed. To improve performance during object handling motions, analysis of slippage direction is conducted. The control algorithm is classified into two phases: grasp-move-release and grasp-twist motions. Detailed explanations of the control algorithm based on the existing robot arm control system are presented. The experiment is conducted using a bottle cap, and the results reveal good performance of the proposed control algorithm to accomplish the proposed object handling motions.


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