engleski

Knowledge Representation in Robot Vision Systems

This lecture introduces some basics of knowledge representation in robot (computer) vision systems. An overview and taxonomy of knowlege representation scemes is given. The KRP knowledge representation scheme based on Petri net theory is described, and reasoning procedures are illustrated. The paper is concluded by introducing the concept of time into knowledge representation schemes based on Petri nets. The theory of Petri nets with time tokens (PNTT) is compared to other theories, and a knowledge representation scheme (KRPTT) based on this theory is presented.

knowledge representation; robot vision; temporal knowledge

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