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Integration of symbolic task planning into operations within an unstructured environment

dc.contributor.authorQiu, Renxien_GB
dc.contributor.authorNoyvirt, Alexandreen_GB
dc.contributor.authorJi, Zeen_GB
dc.contributor.authorSoroka, Anthonyen_GB
dc.contributor.authorLi, Dayouen_GB
dc.contributor.authorLiu, Beishengen_GB
dc.contributor.authorArbeiter, Georgen_GB
dc.contributor.authorWeisshardt, Florianen_GB
dc.contributor.authorXu, Shuoen_GB
dc.date.accessioned2013-04-07T16:59:38Z
dc.date.available2013-04-07T16:59:38Z
dc.date.issued2012
dc.identifier.citationQiu, R.; Noyvirt, A.; Ji, Z.; Soroka, A.; Li, D.; Liu, B.; Arbeiter, G.; Weisshardt, F.; and Xu, S. (2012) 'Integration of Symbolic Task Planning into Operations within an Unstructured Environment', 2 (3):38-57 International Journal of Intelligent Mechatronics and Roboticsen_GB
dc.identifier.issn2156-1664
dc.identifier.issn2156-1656
dc.identifier.doi10.4018/ijimr.2012070104
dc.identifier.urihttp://hdl.handle.net/10547/279183
dc.description.abstractTo ensure a robot capable of robust task execution in unstructured environments, task planners need to have a high-level understanding of the nature of the world, reasoning for deliberate actions, and reacting to environment changes. Proposed is a practical task planning approach that seamlessly integrating deeper domain knowledge, real time perception and symbolic planning for robot operation. A higher degree of autonomy under unstructured environment will be endowed to the robot with the proposed approach.
dc.language.isoenen
dc.publisherIGI Globalen_GB
dc.relation.urlhttp://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijimr.2012070104en_GB
dc.rightsArchived with thanks to International Journal of Intelligent Mechatronics and Roboticsen_GB
dc.subjectrobot operation systemen_GB
dc.titleIntegration of symbolic task planning into operations within an unstructured environmenten
dc.typeArticleen
dc.identifier.journalInternational Journal of Intelligent Mechatronics and Roboticsen_GB
html.description.abstractTo ensure a robot capable of robust task execution in unstructured environments, task planners need to have a high-level understanding of the nature of the world, reasoning for deliberate actions, and reacting to environment changes. Proposed is a practical task planning approach that seamlessly integrating deeper domain knowledge, real time perception and symbolic planning for robot operation. A higher degree of autonomy under unstructured environment will be endowed to the robot with the proposed approach.


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