The role of attention in robot self-awareness

Novianto, R; Williams, MA

The role of attention in robot self-awareness

Novianto, R Williams, MA

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Publication Type:: Conference Proceeding
Citation:: Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 2009, pp. 1047 - 1053
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Novianto, R	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 2009, pp. 1047 - 1053	en_US
dc.identifier.isbn	9781424450817	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12073
dc.description.abstract	A robot may not be truly self-aware even though it can have some characteristics of self-awareness, such as having emotional states or the ability to recognize itself in the mirror. We define self-awareness in robots to be characterized by the capacity to direct attention toward their own mental state. This paper explores robot self-awareness and the role that attention plays in the achievement self-awareness. We propose a new attention based approach to self-awareness called ASMO and conduct a comparative analysis of approaches that highlights the innovation and benefits of ASMO. We then describe how our attention based self-awareness can be designed and used to develop self-awareness in state-of-the-art humanoidal robots. © 2009 IEEE.	en_US
dc.relation.ispartof	Proceedings - IEEE International Workshop on Robot and Human Interactive Communication	en_US
dc.relation.isbasedon	10.1109/ROMAN.2009.5326155	en_US
dc.title	The role of attention in robot self-awareness	en_US
dc.type	Conference Proceeding
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	150307 Innovation and Technology Management	en_US
utslib.for	150302 Business Information Systems	en_US
dc.location.activity	Toyama	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 Software
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

A robot may not be truly self-aware even though it can have some characteristics of self-awareness, such as having emotional states or the ability to recognize itself in the mirror. We define self-awareness in robots to be characterized by the capacity to direct attention toward their own mental state. This paper explores robot self-awareness and the role that attention plays in the achievement self-awareness. We propose a new attention based approach to self-awareness called ASMO and conduct a comparative analysis of approaches that highlights the innovation and benefits of ASMO. We then describe how our attention based self-awareness can be designed and used to develop self-awareness in state-of-the-art humanoidal robots. © 2009 IEEE.

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http://hdl.handle.net/10453/12073