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Abstract
In this paper we describe how a robot may benefit from active learning in a human-robot tutelage setting. Rather than passively absorbing conceptual knowledge, the robot learner actively tries to influence the human teacher in order to improve its learning experience. We compare the performance of agents that employ this strategy in simulation to a robot that interacts with a human teacher. It was found that people respond to the robot's social cues and that this can improve learning, albeit less expressed than in simulation. Moreover, we found gender effects indicating that robot learners might benefit from even more specific tailoring towards their human tutors.
Keywords
COLOR, CATEGORIES

Citation

Please use this url to cite or link to this publication:

MLA
de Greeff, J, F Delaunay, and Tony Belpaeme. “Active Robot Learning with Human Tutelage.” 2012 IEEE INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (ICDL). NEW YORK: IEEE, 2012. Print.
APA
de Greeff, J., Delaunay, F., & Belpaeme, T. (2012). Active robot learning with human tutelage. 2012 IEEE INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (ICDL). Presented at the IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), NEW YORK: IEEE.
Chicago author-date
de Greeff, J, F Delaunay, and Tony Belpaeme. 2012. “Active Robot Learning with Human Tutelage.” In 2012 IEEE INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (ICDL). NEW YORK: IEEE.
Chicago author-date (all authors)
de Greeff, J, F Delaunay, and Tony Belpaeme. 2012. “Active Robot Learning with Human Tutelage.” In 2012 IEEE INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (ICDL). NEW YORK: IEEE.
Vancouver
1.
de Greeff J, Delaunay F, Belpaeme T. Active robot learning with human tutelage. 2012 IEEE INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (ICDL). NEW YORK: IEEE; 2012.
IEEE
[1]
J. de Greeff, F. Delaunay, and T. Belpaeme, “Active robot learning with human tutelage,” in 2012 IEEE INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (ICDL), San Diego, CA, 2012.
@inproceedings{8197764,
  abstract     = {In this paper we describe how a robot may benefit from active learning in a human-robot tutelage setting. Rather than passively absorbing conceptual knowledge, the robot learner actively tries to influence the human teacher in order to improve its learning experience. We compare the performance of agents that employ this strategy in simulation to a robot that interacts with a human teacher. It was found that people respond to the robot's social cues and that this can improve learning, albeit less expressed than in simulation. Moreover, we found gender effects indicating that robot learners might benefit from even more specific tailoring towards their human tutors.},
  author       = {de Greeff, J and Delaunay, F and Belpaeme, Tony},
  booktitle    = {2012 IEEE INTERNATIONAL CONFERENCE ON DEVELOPMENT AND LEARNING AND EPIGENETIC ROBOTICS (ICDL)},
  isbn         = {978-1-4673-4963-5},
  keywords     = {COLOR,CATEGORIES},
  language     = {eng},
  location     = {San Diego, CA},
  pages        = {6},
  publisher    = {IEEE},
  title        = {Active robot learning with human tutelage},
  year         = {2012},
}

Web of Science
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