Reference : Reasoning on Robot Knowledge from Discrete and Asynchronous Observations
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/13873
Reasoning on Robot Knowledge from Discrete and Asynchronous Observations
English
Ziafati, Pouyan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Elrakaiby, Yehia mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
van der Torre, Leon mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Voos, Holger mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Dastani, Mehdi mailto []
Meyer, John-Jules mailto []
Van Zee, Marc mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Mar-2014
AAAI Spring Symposium 2014: Knowledge Representation and Reasoning in Robotics, Stanford, USA, 2015
Yes
No
International
AAAI Spring Symposium 2014: Knowledge Representation and Reasoning in Robotics
from 24-03-2014 to 26-10-2014
Stanford
USA
[en] Knowledge representation ; Robotics ; Event Processing
[en] Robot knowledge of the world is created from discrete and asynchronous events received from its perception components. Proper representation and maintenance of robot knowledge is crucial to enable the use of robot knowledge for planning, user-interaction, etc. This paper identifies some of the main issues related to the representation, maintenance and querying of robot knowledge based on discrete asynchronous events such as event-history management and synchronization, and introduces a language for simplifying developers’ job at making a suitable representation of robot knowledge.
http://hdl.handle.net/10993/13873

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