Connecting Resource-Constrained Robots to Knowledge-based Systems

J. Riekki, X. Su, and J. Haverinen (Finland)


Entity Notation, light-weight data representation, RDF, Semantic Web, robot swarm


Knowledge-based systems would enable various useful applications for robots but on the other hand they present challenging requirements. The limited bandwidth, processing power, and storage capabilities do not allow the rich knowledge representations to be communicated, processed, nor stored by the robots. We suggest the Entity Notation for tackling this challenge. The key idea is that the robots handle the light-weight Entity Notation, the knowledge-based systems handle the advanced knowledge representations – and that an unambiguous, lossless transform can be performed between these two representations when necessary. We present some preliminary experiments and discuss the future work.

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