Dynamic Knowledge Graphs as Semantic Memory Model for Industrial Robots
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by
Mohak Sukhwani, Vishakh Duggal, Said Zahrai
2021
Abstract
In this paper, we present a model for semantic memory that allows machines
collect information and experiences and become more competent with time. After
a semantic analysis of the data, information is stored in a knowledge graph and
used to comprehend instructions expressed in natural language and execute
required tasks properly and in a deterministic manner. This provides industrial
robots with cognitive behavior and an intuitive user interface, which is most
appreciated in an era, when collaborative robots are to work alongside humans.
The paper outlines the architecture of the system together with a practical
implementation proposal.
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