TY - GEN
T1 - RT ontology development and human preference learning for assistive robotic service system
AU - Ngo, Lam Trung
AU - Mizukawa, Makoto
PY - 2010/12/1
Y1 - 2010/12/1
N2 - In service robotics systems, understanding the relationship between environmental objects and user intention is the key feature to provide suitable services according to context. RT Ontology has shown to be an efficient technique to represent this relationship, yet it contains non-context information. In this paper, we propose a novel method to develop the RT Ontology automatically and a learning algorithm to connect the context-free model of RT Ontology with human preference. Resulting system is capable of providing assistive contextual services to user, as well as learning human action preference.
AB - In service robotics systems, understanding the relationship between environmental objects and user intention is the key feature to provide suitable services according to context. RT Ontology has shown to be an efficient technique to represent this relationship, yet it contains non-context information. In this paper, we propose a novel method to develop the RT Ontology automatically and a learning algorithm to connect the context-free model of RT Ontology with human preference. Resulting system is capable of providing assistive contextual services to user, as well as learning human action preference.
KW - Common sense
KW - Context understanding
KW - RT ontology
KW - Robotic service
UR - http://www.scopus.com/inward/record.url?scp=78751520987&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78751520987&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:78751520987
SN - 9781424474530
T3 - ICCAS 2010 - International Conference on Control, Automation and Systems
SP - 385
EP - 388
BT - ICCAS 2010 - International Conference on Control, Automation and Systems
T2 - International Conference on Control, Automation and Systems, ICCAS 2010
Y2 - 27 October 2010 through 30 October 2010
ER -