TY - GEN
T1 - An approach to ontology-based intention recognition using state representations
AU - Schlenoff, Craig
AU - Foufou, S.
AU - Balakirsky, S.
PY - 2012
Y1 - 2012
N2 - In this paper, we present initial thoughts on an approach to ontology/logic-based intention recognition based on the recognition, representation, and ordering of states. This is different than traditional approaches to intention recognition, which use activity recognition and the ordering of activities. State recognition and representation offer numerous advantages, including the ability to infer the intention of multiple people working together and the fact that states are easier for a sensor system to recognize than actions. The focus of this work is on the domain of manufacturing assembly, with an emphasis on human/robot collaboration during the assembly process.
AB - In this paper, we present initial thoughts on an approach to ontology/logic-based intention recognition based on the recognition, representation, and ordering of states. This is different than traditional approaches to intention recognition, which use activity recognition and the ordering of activities. State recognition and representation offer numerous advantages, including the ability to infer the intention of multiple people working together and the fact that states are easier for a sensor system to recognize than actions. The focus of this work is on the domain of manufacturing assembly, with an emphasis on human/robot collaboration during the assembly process.
KW - Human-robot interaction and safety
KW - Intention recognition
KW - Ontology
KW - State representation
UR - http://www.scopus.com/inward/record.url?scp=84881412449&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881412449&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84881412449
SN - 9789898565303
T3 - KEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development
SP - 178
EP - 183
BT - KEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development
T2 - 4th International Conference on Knowledge Engineering and Ontology Development, KEOD 2012
Y2 - 4 October 2012 through 7 October 2012
ER -