• 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