DocumentCode :
607875
Title :
Collaborative housekeeping robotics using Answer Set Programming
Author :
Aker, E. ; Patoglu, Volkan ; Erdem, Esra
Author_Institution :
Muhendislik ve Doga Bilimleri Fak., Sabanci Univ., İstanbul, Turkey
fYear :
2013
fDate :
24-26 April 2013
Firstpage :
1
Lastpage :
4
Abstract :
Answer Set Programming (ASP) is a knowledge representation and reasoning paradigm with high-level expressive logic-based formalism, and efficient solvers; it is applied to solve hard problems in various domains, such as, systems biology, wire routing, space shuttle control. In this paper, we present an application of ASP to housekeeping robotics, by showing how the following problems are addressed using computational methods/tools of ASP: 1) embedding commonsense knowledge automatically extracted from the commonsense knowledge base ConceptNet, into high-level representation, 2) embedding (continuous) geometric reasoning and temporal reasoning about durations of actions, into (discrete) high-level reasoning. We illustrate the applicability of ASP on several housekeeping robotics problems.
Keywords :
inference mechanisms; knowledge acquisition; knowledge representation; logic programming; service robots; ASP; answer set programming; automatic embedding commonsense knowledge extraction; collaborative housekeeping robotics problem; commonsense knowledge base ConceptNet; computational methods; computational tools; geometric reasoning; high-level expressive logic-based formalism; high-level reasoning; high-level representation; knowledge representation paradigm; reasoning paradigm; space shuttle control; systems biology; temporal reasoning; wire routing; Cognition; Collaboration; Mathematical model; Programming; Robot kinematics; Robot sensing systems; Knowledge representation; answer set programming; commonsense knowledge; housekeeping robotics; reasoning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location :
Haspolat
Print_ISBN :
978-1-4673-5562-9
Electronic_ISBN :
978-1-4673-5561-2
Type :
conf
DOI :
10.1109/SIU.2013.6531536
Filename :
6531536
Link To Document :
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