Title :
Learning affordance for semantic robots using ontology approach
Author :
Hidayat, Sidiq S. ; Kim, B.K. ; Ohba, Kohtaro
Author_Institution :
Syst. & Inf. Eng., Univ. of Tsukuba, Tsukuba
Abstract :
Learning affordance is very important for autonomous robots to know what the necessary actions should be performed to complete a given task with its abilities. However, itpsilas difficult to identify and apply affordances in practice for robots. In order for a robot to get benefits from this concept, this paper proposes ontology approach based affordance concept for ubiquitous robots. The goal of this affordance-based ontology effort is to develop and begin to populate a neutral knowledge representation capturing relevant information about robots capabilities and what the environment afford to assist human life in ubiquitous robots environment. We propose a new method to dasiateachpsila robot learn objects and context affordances using ontology approach for semantic robots in ubiquitous robots space.
Keywords :
control engineering computing; mobile robots; ontologies (artificial intelligence); ubiquitous computing; affordance-based ontology effort; learning affordance; neutral knowledge representation; ontology approach; semantic robots; ubiquitous robots environment; Humans; Ontologies; Robot kinematics; Robot sensing systems; Robots; Sensors; Service robots;
Conference_Titel :
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-2057-5
DOI :
10.1109/IROS.2008.4651193