Real-time human-robot interactive coaching system with full-body control interface

Bogdanovych, A; Stanton, C; Wang, X; Williams, MA

Real-time human-robot interactive coaching system with full-body control interface

Bogdanovych, A Stanton, C Wang, X

Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, 7416 LNCS pp. 562 - 573
Issue Date:: 2012-09-10

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Field	Value	Language
dc.contributor.author	Bogdanovych, A	en_US
dc.contributor.author	Stanton, C	en_US
dc.contributor.author	Wang, X https://orcid.org/0000-0002-7459-1670	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2012-09-10	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, 7416 LNCS pp. 562 - 573	en_US
dc.identifier.isbn	9783642320590	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22887
dc.identifier.uri	http://hdl.handle.net/10453/32337
dc.description.abstract	The ambitious goal being pursued by researchers participating in the RoboCup challenge [8] is to develop a team of autonomous humanoid robots that is capable of winning against a team of human soccer players. An important step in this direction is to actively utilise human coaching to improve the skills of robots at both tactical and strategic levels. In this paper we explore the hypothesis that embedding a human into a robot's body and allowing the robot to learn tactical decisions by imitating the human coach can be more efficient than programming the robot explicitly. To enable this, we have developed a sophisticated HRI system that allows a human to interact with, coach and control an Aldebaran Nao robot through the use of a motion capture suit, portable computing devices (iPhone and iPad), and a head mounted display (which allows the human controller to experience the robot's visual perceptions of the world). This paper describes the HRI-Coaching system we have developed, detailing the underlying technologies and lessons learned from using it to control the robot. The system in its current stages shows high potential for human-robot coaching, but requires further calibration and development to allow a robot to learn by imitating the human coach. © 2012 Springer-Verlag Berlin Heidelberg.	en_US
dc.relation.ispartof	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en_US
dc.relation.isbasedon	10.1007/978-3-642-32060-6_48	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Real-time human-robot interactive coaching system with full-body control interface	en_US
dc.type	Conference Proceeding
utslib.citation.volume	7416 LNCS	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	7416 LNCS	en_US

Abstract:

The ambitious goal being pursued by researchers participating in the RoboCup challenge [8] is to develop a team of autonomous humanoid robots that is capable of winning against a team of human soccer players. An important step in this direction is to actively utilise human coaching to improve the skills of robots at both tactical and strategic levels. In this paper we explore the hypothesis that embedding a human into a robot's body and allowing the robot to learn tactical decisions by imitating the human coach can be more efficient than programming the robot explicitly. To enable this, we have developed a sophisticated HRI system that allows a human to interact with, coach and control an Aldebaran Nao robot through the use of a motion capture suit, portable computing devices (iPhone and iPad), and a head mounted display (which allows the human controller to experience the robot's visual perceptions of the world). This paper describes the HRI-Coaching system we have developed, detailing the underlying technologies and lessons learned from using it to control the robot. The system in its current stages shows high potential for human-robot coaching, but requires further calibration and development to allow a robot to learn by imitating the human coach. © 2012 Springer-Verlag Berlin Heidelberg.

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http://hdl.handle.net/10453/22887