2.50
Hdl Handle:
http://hdl.handle.net/10547/275996
Title:
Task classification in multi-role robotic systems for independent living
Authors:
Cao, Tao; Guo, Xiao; Li, Dayou; Mapple, C.; Yue, Yong
Abstract:
Homecare robots aiming at supporting the elderly independently living are necessary for aging society. Such kind robots must have multi-role with various capability to provide essential services, such as laundry, setting up table and preparing dinner. Each of these services is a task to be fulfilled from the view point of homecare robots. Understanding each task and being able to differentiate tasks are crucial for a homecare robot to successfully provide desired assistance and service to aging population. This paper introduces a Nature Language based approach to task classification. A verb-based task classifier was developed to extract tasks in the form of verbs and nouns given user's commands. A verb vector technique was then employed to classify tasks into categories according to verb clusters. Experiment results demonstrated that the proposed task classifier can successfully extract tasks from user's commands and to classify them into task categories.
Affiliation:
Department of Computer Science and Technology, University of Bedfordshire
Citation:
Cao, Tao; Guo, Xiao; Li, Dayou; Mapple, Carsten; Yong Yue, (2011)'Task classification in multi-role robotic systems for independent living,' Assisted Living 2011, IET Seminar on: 1-6
Publisher:
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date:
2011
URI:
http://hdl.handle.net/10547/275996
DOI:
10.1049/ic.2011.0034
Additional Links:
http://digital-library.theiet.org/content/conferences/10.1049/ic.2011.0034
Type:
Conference papers, meetings and proceedings
Language:
en
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorCao, Taoen_GB
dc.contributor.authorGuo, Xiaoen_GB
dc.contributor.authorLi, Dayouen_GB
dc.contributor.authorMapple, C.en_GB
dc.contributor.authorYue, Yongen_GB
dc.date.accessioned2013-03-26T11:32:08Z-
dc.date.available2013-03-26T11:32:08Z-
dc.date.issued2011-
dc.identifier.citationCao, Tao; Guo, Xiao; Li, Dayou; Mapple, Carsten; Yong Yue, (2011)'Task classification in multi-role robotic systems for independent living,' Assisted Living 2011, IET Seminar on: 1-6en_GB
dc.identifier.doi10.1049/ic.2011.0034-
dc.identifier.urihttp://hdl.handle.net/10547/275996-
dc.description.abstractHomecare robots aiming at supporting the elderly independently living are necessary for aging society. Such kind robots must have multi-role with various capability to provide essential services, such as laundry, setting up table and preparing dinner. Each of these services is a task to be fulfilled from the view point of homecare robots. Understanding each task and being able to differentiate tasks are crucial for a homecare robot to successfully provide desired assistance and service to aging population. This paper introduces a Nature Language based approach to task classification. A verb-based task classifier was developed to extract tasks in the form of verbs and nouns given user's commands. A verb vector technique was then employed to classify tasks into categories according to verb clusters. Experiment results demonstrated that the proposed task classifier can successfully extract tasks from user's commands and to classify them into task categories.en_GB
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://digital-library.theiet.org/content/conferences/10.1049/ic.2011.0034en_GB
dc.subjecthuman-robot interactionen_GB
dc.subjectroboticsen_GB
dc.titleTask classification in multi-role robotic systems for independent livingen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentDepartment of Computer Science and Technology, University of Bedfordshireen_GB
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