Integrating robot task planner with common-sense knowledge base to improve the efficiency of planning

2.50
Hdl Handle:
http://hdl.handle.net/10547/336232
Title:
Integrating robot task planner with common-sense knowledge base to improve the efficiency of planning
Authors:
Al-Moadhen, Ahmed; Qiu, Renxi; Packianather, Michael; Ji, Ze; Setchi, Rossi
Abstract:
This paper presents a developed approach for intelligently generating symbolic plans by mobile robots acting in domestic environments, such as offices and houses. The significance of the approach lies in developing a new framework that consists of the new modeling of high-level robot actions and then their integration with common-sense knowledge in order to support a robotic task planner. This framework will enable interactions between the task planner and the semantic knowledge base directly. By using common-sense domain knowledge, the task planner will take into consideration the properties and relations of objects and places in its environment, before creating semantically related actions that will represent a plan. This plan will accomplish the user order. The robot task planner will use the available domain knowledge to check the next related actions to the current one and the action's conditions met will be chosen. Then the robot will use the immediately available knowledge information to check whether the plan outcomes are met or violated.
Affiliation:
Cardiff University
Citation:
Al-Moadhen A., Qiu R., Packianather P., Ji Z., Setchi R., (2013) 'Integrating Robot Task Planner with Common-sense Knowledge Base to Improve the Efficiency of Planning', Procedia Computer Science, 22: 211-220
Publisher:
Elsevier
Journal:
Procedia Computer Science
Issue Date:
2013
URI:
http://hdl.handle.net/10547/336232
DOI:
10.1016/j.procs.2013.09.097
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S1877050913008909
Type:
Article
Language:
en
ISSN:
1877-0509
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorAl-Moadhen, Ahmeden
dc.contributor.authorQiu, Renxien
dc.contributor.authorPackianather, Michaelen
dc.contributor.authorJi, Zeen
dc.contributor.authorSetchi, Rossien
dc.date.accessioned2014-11-27T11:35:18Z-
dc.date.available2014-11-27T11:35:18Z-
dc.date.issued2013-
dc.identifier.citationAl-Moadhen A., Qiu R., Packianather P., Ji Z., Setchi R., (2013) 'Integrating Robot Task Planner with Common-sense Knowledge Base to Improve the Efficiency of Planning', Procedia Computer Science, 22: 211-220en
dc.identifier.issn1877-0509-
dc.identifier.doi10.1016/j.procs.2013.09.097-
dc.identifier.urihttp://hdl.handle.net/10547/336232-
dc.description.abstractThis paper presents a developed approach for intelligently generating symbolic plans by mobile robots acting in domestic environments, such as offices and houses. The significance of the approach lies in developing a new framework that consists of the new modeling of high-level robot actions and then their integration with common-sense knowledge in order to support a robotic task planner. This framework will enable interactions between the task planner and the semantic knowledge base directly. By using common-sense domain knowledge, the task planner will take into consideration the properties and relations of objects and places in its environment, before creating semantically related actions that will represent a plan. This plan will accomplish the user order. The robot task planner will use the available domain knowledge to check the next related actions to the current one and the action's conditions met will be chosen. Then the robot will use the immediately available knowledge information to check whether the plan outcomes are met or violated.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S1877050913008909en
dc.rightsArchived with thanks to Procedia Computer Scienceen
dc.subjecttask planneren
dc.subjectcommon-sense knowledgeen
dc.subjectsemantic action modelen
dc.subjectsemantic networken
dc.subjectrobot task planningen
dc.titleIntegrating robot task planner with common-sense knowledge base to improve the efficiency of planningen
dc.typeArticleen
dc.contributor.departmentCardiff Universityen
dc.identifier.journalProcedia Computer Scienceen
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