Knowledge Representation for Cognitive Robotic Systems

Emil Vassev, Mike Hinchey
2012 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops  
Cognitive robotics are autonomous systems capable of artificial reasoning. Such systems can be achieved with a logical approach, but still AI struggles to connect the abstract logic with real-world meanings. Knowledge representation and reasoning help to resolve this problem and to establish the vital connection between knowledge, perception, and action of a robot. Cognitive robots must use their knowledge against the perception of their world and generate appropriate actions in that world in
more » ... mpliance with some goals and beliefs. This paper presents an approach to multi-tier knowledge representation for cognitive robots, where ontologies are integrated with rules and Bayesian networks. The approach allows for efficient and comprehensive knowledge structuring and awareness based on logical and statistical reasoning.
doi:10.1109/isorcw.2012.36 dblp:conf/isorc/VassevH12 fatcat:roda3klm5bab3jopuxzyyks23u