A Topic Recognition System for Real World Human-Robot Conversations

  • Salvatore Maria Anzalone
  • Y. Yoshikawa
  • Hiroshi Ishiguro
  • Emanuele Menegatti
  • Enrico Pagello
  • Rosario Sorbello
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 194)


One of the main features of social robots is the ability to communicate and interact with people as partners in a natural way. However, achieving a good verbal interaction is a hard task due to the errors on speech recognition systems, and due to the understanting the natural language itself. This paper tries to overcome such kind of problems by presenting a system that enables social robots to get involved in conversation by recognizing its topic. Through the use of classical text mining approach, the presented system allows social robots to understand topics of conversation between human partners, enabling the customization of behaviours in their accordance. The system has been evaluated in different contexts, taking in account the quality and accuracy of the speech recognition syestem used by the social robot.


Speech Recognition Humanoid Robot Term Frequency Social Robot Speech Recognition System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Salvatore Maria Anzalone
    • 1
  • Y. Yoshikawa
    • 1
  • Hiroshi Ishiguro
    • 1
  • Emanuele Menegatti
    • 2
  • Enrico Pagello
    • 2
  • Rosario Sorbello
    • 3
  1. 1.Intelligent Robotics Laboratory Department of Systems Innovation Graduate School of Engineering ScienceOsaka UniversityOsakaJapan
  2. 2.Intelligent Autonomous Systems Laboratory (IAS-Lab) Department of Information Engineering Faculty of EngineeringUniversity of PaduaPaduaItaly
  3. 3.Robotics Lab Department of Computer Engineering Faculty of EngineeringUniversity of PalermoPalermoItaly

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