A Topic Recognition System for Real Word Human-Robot Conversations

Rosario Sorbello, Hiroshi Ishiguro, Salvatore Maria Anzalone, Enrico Pagello, Emanuele Menegatti, Yuichiro Yoshikawa

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)


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 verbalinteraction is a hard task due to the errors on speech recognition systems, and dueto the understanting the natural language itself. This paper tries to overcome suchkind of problems by presenting a system that enables social robots to get involvedin conversation by recognizing its topic. Through the use of classical text miningapproach, the presented system allows social robots to understand topics of conversation between human partners, enabling the customization of behaviours in theiraccordance. The system has been evaluated in different contexts, taking in accountthe quality and accuracy of the speech recognition syestem used by the social robot.
Original languageEnglish
Title of host publicationIntelligent Autonomous Systems 12
Number of pages9
Publication statusPublished - 2013

Publication series


All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science


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