Impact of Tutoring Strategies in Grounded Lexicon Learning

Jens Nevens, Michael Spranger

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


This paper investigates the role of tutor feedback in grounded language learning experiments. We compare two dominant paradigms in language learning: interactive learning and cross-situational learning using robot-robot experiments in the real world. In particular, we study a mixed paradigm, introduced in earlier work, only now in real world interaction. Our experiments quantify the potential impact of social feedback in language learning. Since the grounded world is a more structured environment than random worlds, we also quantify whether algorithms can make use of that structure.
Original languageEnglish
Title of host publicationSocial Robotics - 9th International Conference, ICSR 2017, Proceedings
Subtitle of host publication9th International Conference, ICSR 2017, Tsukuba, Japan, November 22-24, 2017, Proceedings
EditorsAbderrahmane Kheddar, Eiichi Yoshida, Shuzhi Sam Ge, Kenji Suzuki, John-John Cabibihan, Friederike Eyssel, Hongsheng He
Place of PublicationTsukuba, Japan
Number of pages10
ISBN (Electronic)978-3-319-70022-9
ISBN (Print)978-3-319-70021-2
Publication statusPublished - 24 Nov 2017
Event9th International Conference on Social Robotics - International Congress Center Epochal, Tsukuba, Japan
Duration: 22 Nov 201724 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10652 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Conference on Social Robotics


  • Grounded robot learning
  • Lexicon learning


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