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FPGA-Based Vocabulary Recognition Module for Humanoid Robot

  • Conference paper
Advances in Robotics (FIRA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5744))

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Abstract

This paper focuses on using FPGA board to realize the ability of vocabulary recognition for humanoid robot. At first, the system structure of the humanoid robot system is setup. The central process unit of the humanoid robot is a FPGA board, ALTERA Nios II EP2C20F324C8, which not only controls all the motors of robot but also processes the information of vision system. The vocabulary recognition method is then introduced. We apply the image segment to find the valid region, and use the encoding method to sample the word. After matching algorithm, we use a speech module, Emic TTS module, to pronounce the word. Finally the experiments verify the procedure of the proposed module and demonstrate the feasibility of the vocabulary recognition and speak out function for the humanoid robot.

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Author information

Authors and Affiliations

  1. aiRobots Laboratory, Department of Electrical Engineering, National Cheng Kung University, Tainan, 70101, Taiwan, R.O.C.

    Yu-Te Su, Chun-Yang Hu & Tzuu-Hseng S. Li

Authors
  1. Yu-Te Su
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  2. Chun-Yang Hu
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  3. Tzuu-Hseng S. Li
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Editor information

Editors and Affiliations

  1. Dept. of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, South Korea

    Jong-Hwan Kim

  2. Social Robotics Lab, Interactive Digital Media Institute, and Edutainment Robotics Lab Department of Electrical and Computer Engineering, National University of Singapore, 117576, Singapore

    Shuzhi Sam Ge

  3. National University of Singapore, Singapore

    Prahlad Vadakkepat  & Abdullah Al Manum  & 

  4. Technische Universität Dortmund, Germany

    Norbert Jesse

  5. Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, P.O. Box, 117576, Singapore

    Sadasivan Puthusserypady K

  6. Institut für Informatik/I12, Technische Universität München, Boltzmannstr. 3,, D-85748, Garching b. München, Germany

    Ulrich Rückert

  7. School of Software Engineering and Data Communications, Queensland University of Technology, P.O. Box, Brisbane, Australia

    Joaquin Sitte

  8. Heinz Nixdorf Institute, University of Paderborn, P.O. Box, Paderborn, Germany

    Ulf Witkowski

  9. Interactive & Digital Media Institute, National University of Singapore, Blk E3A #02-04, 7 Engineering Drive 1, 117574, Singapore

    Ryohei Nakatsu

  10. University of Manitoba, R3T 2N2, Winnipeg, MB, Canada

    Jacky Baltes

  11. Autonomous Agents Laboratory, Department of Computer Science, University of Manitoba, P.O. Box, R3T 2N2, Winnipeg, Manitoba, Canada

    John Anderson

  12. Dept. of Education in Technology & Science, Technion - Israel Institute of Technology, 32000, Haifa, Israel

    Igor Verner

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© 2009 Springer-Verlag Berlin Heidelberg

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Su, YT., Hu, CY., Li, TH.S. (2009). FPGA-Based Vocabulary Recognition Module for Humanoid Robot. In: Kim, JH., et al. Advances in Robotics. FIRA 2009. Lecture Notes in Computer Science, vol 5744. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03983-6_19

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  • DOI: https://doi.org/10.1007/978-3-642-03983-6_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03982-9

  • Online ISBN: 978-3-642-03983-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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