Social networking for robots to share knowledge, skills and know-how

Wang, W; Johnston, B; Williams, MA

Social networking for robots to share knowledge, skills and know-how

Wang, W Johnston, B 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, 7621 LNAI pp. 418 - 427
Issue Date:: 2012-11-16

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Field	Value	Language
dc.contributor.author	Wang, W	en_US
dc.contributor.author	Johnston, B	en_US
dc.contributor.author	Williams, MA https://orcid.org/0000-0002-1047-0503	en_US
dc.date.issued	2012-11-16	en_US
dc.identifier.citation	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2012, 7621 LNAI pp. 418 - 427	en_US
dc.identifier.isbn	9783642341021	en_US
dc.identifier.issn	0302-9743	en_US
dc.identifier.uri	http://hdl.handle.net/10453/31527
dc.description.abstract	A major bottleneck in robotics research and development is the difficulty and time required to develop and implement new skills for robots to realize task-independence. In spite of work done in terms of task model transfer among robots, so far little work has been done on how to make robots task-independent. In this paper, we describe our work-in-progress towards the development of a robot social network called Numbots that draws on the principle of sharing information in human social networking. We demonstrate how Numbots has the potential to assist knowledge sharing, know-how and skill transfer among robots to realize task-independence. © 2012 Springer-Verlag.	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	10.1007/978-3-642-34103-8_42	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Social networking for robots to share knowledge, skills and know-how	en_US
dc.type	Conference Proceeding
utslib.citation.volume	7621 LNAI	en_US
utslib.for	090602 Control Systems, Robotics and Automation	en_US
dc.location.activity	Chengdu, China
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/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	7621 LNAI	en_US

Abstract:

A major bottleneck in robotics research and development is the difficulty and time required to develop and implement new skills for robots to realize task-independence. In spite of work done in terms of task model transfer among robots, so far little work has been done on how to make robots task-independent. In this paper, we describe our work-in-progress towards the development of a robot social network called Numbots that draws on the principle of sharing information in human social networking. We demonstrate how Numbots has the potential to assist knowledge sharing, know-how and skill transfer among robots to realize task-independence. © 2012 Springer-Verlag.

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http://hdl.handle.net/10453/31527