Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1563
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJayawardena, C.-
dc.contributor.authorRajapaksha, U. U.S.-
dc.date.accessioned2022-03-10T10:40:45Z-
dc.date.available2022-03-10T10:40:45Z-
dc.date.issued2020-12-10-
dc.identifier.isbn978-1-7281-8412-8-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1563-
dc.description.abstractIn real world applications, seamless integration of heterogeneous robots is very important to complete a task given by high level user instruction with unknown terms to all robotic devices simultaneously. In this research, we have used the technologies in Semantic Web mainly with the use of the ontology to represent the meaning of the unknown terms in the given high level instruction. If a user has given an instruction in domestic environment as “clean My Room 01 while finding my key for the car” to clean different locations with different capabilities and there can be robot who does not the meaning of the “key”. The robot can get the meaning of the unknown term by communicating with the semantic analyzer which is working with the ontology. According to our analysis we have proved that the object represented by the unknown term can be detected more accurately with compared to existing object detection algorithms since our ontology can represents more concepts related to the given object. The results indicate that if number of unknown terms in the command are increased then the time taken to process the command also be increased.en_US
dc.language.isoenen_US
dc.publisher2020 2nd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.relation.ispartofseriesVol.1;-
dc.subjectOntologyen_US
dc.subjectRobot Operating Systemen_US
dc.subjectGazeboen_US
dc.subjectSemantic Web and Algorithmen_US
dc.titleOntology based Optimized Algorithms to Communicate with a Service Robot using a User Command with Unknown Termsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC51239.2020.9357254en_US
Appears in Collections:2nd International Conference on Advancements in Computing (ICAC) | 2020
Research Papers - IEEE
Research Publications -Dept of Information Technology

Files in This Item:
File Description SizeFormat 
NoFish_Total_Anti-Phishing_Protection_System.pdf
  Until 2050-12-31
382.77 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.