scholarly journals IoTouch: whole-body tactile sensing technology toward the tele-touch

2021 ◽  
pp. 1-12
Author(s):  
Van Anh Ho ◽  
Shotaro Nakayama
2003 ◽  
Author(s):  
Yingjun Pan ◽  
Jiamin Liu ◽  
Weiguo M. Gong ◽  
Shengren Qiao

1989 ◽  
Vol 8 (3) ◽  
pp. 3-30 ◽  
Author(s):  
Howard R. Nicholls ◽  
Mark H. Lee

2012 ◽  
Vol 2012 ◽  
pp. 1-27 ◽  
Author(s):  
Tomoaki Yoshikai ◽  
Marika Hayashi ◽  
Yui Ishizaka ◽  
Hiroko Fukushima ◽  
Asuka Kadowaki ◽  
...  

In order to achieve robots' working around humans, safe contacts against objects, humans, and environments with broad area of their body should be allowed. Furthermore, it is desirable to actively use those contacts for achieving tasks. Considering that, many practical applications will be realized by whole-body close interaction of many contacts with others. Therefore, robots are strongly expected to achieve whole-body interaction behavior with objects around them. Recently, it becomes possible to construct whole-body tactile sensor network by the advancement of research for tactile sensing system. Using such tactile sensors, some research groups have developed robots with whole-body tactile sensing exterior. However, their basic strategy is making a distributed 1-axis tactile sensor network covered with soft thin material. Those are not sufficient for achieving close interaction and detecting complicated contact changes. Therefore, we propose “Soft Sensor Flesh.” Basic idea of “Soft Sensor Flesh” is constructing robots' exterior with soft and thick foam with many sensor elements including multiaxis tactile sensors. In this paper, a constructing method for the robot systems with such soft sensor flesh is argued. Also, we develop some prototypes of soft sensor flesh and verify the feasibility of the proposed idea by actual behavior experiments.


Micromachines ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 321 ◽  
Author(s):  
Minhoon Park ◽  
Bo-Gyu Bok ◽  
Jong-Hyun Ahn ◽  
Min-Seok Kim

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7772
Author(s):  
Fumiya Ito ◽  
Kenjiro Takemura

The tactile sensation is an important indicator of the added value of a product, and it is thus important to be able to evaluate this sensation quantitatively. Sensory evaluation is generally used to quantitatively evaluate the tactile sensation of an object. However, statistical evaluation of the tactile sensation requires many participants and is, thus, time-consuming and costly. Therefore, tactile sensing technology, as opposed to sensory evaluation, is attracting attention. In establishing tactile sensing technology, it is necessary to estimate the tactile sensation of an object from information obtained by a tactile sensor. In this research, we developed a tactile sensor made of two-layer silicone rubber with two strain gauges in each layer and obtained vibration information as the sensor traced an object. We then extracted features from the vibration information using deep autoencoders, following the nature of feature extraction by neural firing due to vibrations perceived within human fingers. We also conducted sensory evaluation to obtain tactile scores for different words from participants. We finally developed a tactile sensation estimation model for each of the seven samples and evaluated the accuracy of estimating the tactile sensation of unknown samples. We demonstrated that the developed model can properly estimate the tactile sensation for at least four of the seven samples.


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