Home /Research /OBOC: Ontology Based Object Categorisation for Robots
OTHER

OBOC: Ontology Based Object Categorisation for Robots

Revuelta Mendoza, BG Johnston, Fangkai Yang, Zhisheng Huang, Xiaoxue Chen, Mary‐Anne Williams

Year
2007
Citations
5
Access
Open access

Abstract

Meaningfully managing the relationship between representations and the entities they represent remains a challenge in robotics known as grounding. Useful insights can be found by approaching robotic systems development specifically with the grounding and symbol grounding problem in mind. In particular, Semantic Web technologies turn out to be not merely applicable to web-based software agents, but can also provide a powerful extension to existing proposals for grounded robotic systems development. Given the interoperability and openness of the Semantic Web, such technologies can increase the ability for a robot to introspect, communicate and be inspected- benefits that ultimately lead to more grounded systems with open-ended intelligent behaviour.

Keywords

Computer scienceOntologyRobotInteroperabilitySemantic WebArtificial intelligenceHuman–computer interactionRoboticsSoftware engineeringWorld Wide Web

Related papers

Browse all OTHER papers