2P1-N-102 Detecting Feature of Haptic Interaction Based on Distributed Tactile Sensor Network on Whole Body(Tactile and Force Sense 5,Mega-Integration in Robotics and Mechatronics to Assist Our Daily Lives)

2005 ◽  
Vol 2005 (0) ◽  
pp. 198
Author(s):  
Tomoyuki NODA ◽  
Takahiro MIYASHITA ◽  
Hiroshi ISHIGURO ◽  
Kiyoshi KOGURE ◽  
Norihiro HAGITA
Keyword(s):  
Sensor Network ◽  
Tactile Sensor ◽  
Whole Body ◽  
Haptic Interaction ◽  
Daily Lives ◽  
Force Sense

Detecting Feature of Haptic Interaction Based on Distributed Tactile Sensor Network on Whole Body

2007 ◽  
Vol 19 (1) ◽  
pp. 42-51 ◽  
Author(s):  
Tomoyuki Noda ◽  
◽  
Takahiro Miyashita ◽  
Hiroshi Ishiguro ◽  
Kiyoshi Kogure ◽  
...  
Keyword(s):  
Sensor Network ◽  
Tactile Sensor ◽  
The Self ◽  
Whole Body ◽  
Transmission Protocol ◽  
Processing Unit ◽  
Haptic Interaction ◽  
Tactile Information ◽  
Self Organized ◽  
Basic Experiments

To extract information about users contacting robots physically, the distribution density of tactile sensor elements, the sampling rate, and the resolution all must be high, increasing the volume of tactile information. In the self-organized skin sensor network we propose for dealing with a large number of tactile sensors embedded throughout a humanoid robot, each network node having a processing unit is connected to tactile sensor elements and other nodes. By processing tactile information in the network based on the situation, individual nodes process and reduce information rapidly in high sampling. They also secure information transmission routes to the host PC using a data transmission protocol for self-organizing sensor networks. In this paper, we verify effectiveness of our proposal through sensor network emulation and basic experiments in spatiotemporal calculation of tactile information using prototype hardware. As an emulation result of the self-organized sensor network, routes to the host PC are secured at each node, and a tree-like network is constructed recursively with the node as a root. As the basic experiments, we describe an edge detection as data processing and extraction for haptic interaction. In conclusion, local information processing is effective for detecting features of haptic interaction.

scholarly journals Development of Robots with Soft Sensor Flesh for Achieving Close Interaction Behavior

2012 ◽  
Vol 2012 ◽  
pp. 1-27 ◽  
Author(s):  
Tomoaki Yoshikai ◽  
Marika Hayashi ◽  
Yui Ishizaka ◽  
Hiroko Fukushima ◽  
Asuka Kadowaki ◽  
...  
Keyword(s):  
Sensor Network ◽  
Tactile Sensor ◽  
Soft Sensor ◽  
Whole Body ◽  
Tactile Sensing ◽  
Actual Behavior ◽  
Tactile Sensors ◽  
Practical Applications ◽  
Interaction Behavior ◽  
Close Interaction

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.

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