FPGA-based vocabulary recognition module for humanoid robot

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.

Original languageEnglish
Title of host publicationAdvances in Robotics - FIRA RoboWorld Congress 2009, Proceedings
Number of pages10
Publication statusPublished - 2009 Nov 6
EventFIRA RoboWorld Congress 2009 - Incheon, Korea, Republic of
Duration: 2009 Aug 162009 Aug 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5744 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherFIRA RoboWorld Congress 2009
Country/TerritoryKorea, Republic of

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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