DocumentCode
3321825
Title
Peniel method for the ultrasonic material identification in robots
Author
González, Juan J. ; Jiménez, Jovani A. ; Guzmán, Jaime A.
Author_Institution
Res. Group Artificial Intell. for Educ., Univ. Nac. de Colombia, Medellin, Colombia
fYear
2011
fDate
14-17 Dec. 2011
Firstpage
496
Lastpage
501
Abstract
In this paper is addressed the development of an ultrasonic sensor for the material identification. This sensor had to be appropriate, in terms of computational cost, in order to be implemented in small robots. This implementation was achieved by a novel signal processing method called Peniel. The associated electronic circuit and the algorithm of this method have as main strengths their circuital simplicity and the low computational cost, respectively. These two characteristics let the sensor to be implemented in two robots of the low cost robotic kit TEAC2H- RI, which was constructed as part of the master thesis of one the authors. The developed system was proved with acrylic, aluminium and glass samples. In the performed experiments those materials were identified with 100% accuracy in all often trials. According to the literature review, it is the first time which is achieved the implementation of the ultrasonic material identification in a robotic system.
Keywords
robots; signal processing; ultrasonic imaging; ultrasonic materials testing; Peniel method; TEAC2H-RI; acrylic; aluminium; associated electronic circuit; circuital simplicity; glass; literature review; low cost robotic kit; robots; signal processing method; ultrasonic material identification; ultrasonic sensor; Aluminum; Art; Couplings; Electronic circuits; Materials; Robot sensing systems; Low Computational Cost Algorithm; Non Destructive Testing (NDT); Sensors; Signal Processing; Small Robots and Material Identification; Ultrasound;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on
Conference_Location
Bilbao
Print_ISBN
978-1-4673-0752-9
Electronic_ISBN
978-1-4673-0751-2
Type
conf
DOI
10.1109/ISSPIT.2011.6151612
Filename
6151612
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