Fuzzy reinforcement learning for an evolving virtual servant robot

Hdl Handle:
http://hdl.handle.net/10149/250352
Title:
Fuzzy reinforcement learning for an evolving virtual servant robot
Book Title:
Proceedings of 13th IEEE International Workshop on Robot and Human Interactive Communication, 2004 (ROMAN 2004)
Authors:
Gatzoulis, C.; Tang, W. (Wen); Wan, T. R. (Tao Ruan)
Affiliation:
Teesside University. School of Computing.
Citation:
Gatzoulis, C., Tang, W. and Wan, T.R. (2005) 'Fuzzy reinforcement learning for an evolving virtual servant robot', 13th IEEE International Workshop on Robot and Human Interactive Communication, 2004 (ROMAN 2004), 20-22 September 2004, pp. 685-690.
Publisher:
IEEE
Conference:
13th IEEE International Workshop on Robot and Human Interactive Communication, 2004 (ROMAN 2004), 20-22 September 2004
Issue Date:
Jan-2005
URI:
http://hdl.handle.net/10149/250352
DOI:
10.1109/ROMAN.2004.1374845
Additional Links:
http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1374845
Abstract:
This work presents our research in the application of reinforcement learning algorithms for the generation of autonomous intelligent virtual robots, that can learn and enhance their task performance in assisting humans in housekeeping. For the control system architecture of the virtual agents, two algorithms, based on Watkins' Q(λ) learning and the zeroth-level classifier system (ZLCS), are incorporated with fuzzy inference systems(FlS). Performance of these algorithms is evaluated and compared. A 3D application of a virtual robot whose task is to interact with virtual humans and offer optimal services on everyday in-house needs is designed and implemented. The learning systems are incorporated in the decision-making process of the virtual robot servant to allow itself to understand and evaluate the fuzzy value requirements and enhance its performance.
Type:
Meetings and Proceedings
Language:
en
Keywords:
fuzzy systems; human robot interaction; inference algorithms; virtual environment; virtual reality
ISBN:
0780385705

Full metadata record

DC FieldValue Language
dc.contributor.authorGatzoulis, C.en_GB
dc.contributor.authorTang, W. (Wen)en_GB
dc.contributor.authorWan, T. R. (Tao Ruan)en_GB
dc.date.accessioned2012-10-26T13:49:50Z-
dc.date.available2012-10-26T13:49:50Z-
dc.date.issued2005-01-
dc.identifier.isbn0780385705-
dc.identifier.doi10.1109/ROMAN.2004.1374845-
dc.identifier.urihttp://hdl.handle.net/10149/250352-
dc.description.abstractThis work presents our research in the application of reinforcement learning algorithms for the generation of autonomous intelligent virtual robots, that can learn and enhance their task performance in assisting humans in housekeeping. For the control system architecture of the virtual agents, two algorithms, based on Watkins' Q(λ) learning and the zeroth-level classifier system (ZLCS), are incorporated with fuzzy inference systems(FlS). Performance of these algorithms is evaluated and compared. A 3D application of a virtual robot whose task is to interact with virtual humans and offer optimal services on everyday in-house needs is designed and implemented. The learning systems are incorporated in the decision-making process of the virtual robot servant to allow itself to understand and evaluate the fuzzy value requirements and enhance its performance.en_GB
dc.language.isoenen
dc.publisherIEEEen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1374845en_GB
dc.subjectfuzzy systemsen_GB
dc.subjecthuman robot interactionen_GB
dc.subjectinference algorithmsen_GB
dc.subjectvirtual environmenten_GB
dc.subjectvirtual realityen_GB
dc.titleFuzzy reinforcement learning for an evolving virtual servant roboten
dc.typeMeetings and Proceedingsen
dc.contributor.departmentTeesside University. School of Computing.en_GB
dc.title.bookProceedings of 13th IEEE International Workshop on Robot and Human Interactive Communication, 2004 (ROMAN 2004)en_GB
dc.identifier.conference13th IEEE International Workshop on Robot and Human Interactive Communication, 2004 (ROMAN 2004), 20-22 September 2004en_GB
or.citation.harvardGatzoulis, C., Tang, W. and Wan, T.R. (2005) 'Fuzzy reinforcement learning for an evolving virtual servant robot', 13th IEEE International Workshop on Robot and Human Interactive Communication, 2004 (ROMAN 2004), 20-22 September 2004, pp. 685-690.en_GB
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