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.
In this paper, we present a model for semantic memory that allows machines to collect information and experiences to become more proficient with time. After a semantic analysis of the data, information is stored in a knowledge graph which is used to comprehend instructions , expressed in natural language , and execute the required tasks in a deterministic manner. This imparts industrial robots 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 of the proposal.
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to become more proficient
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and execute required tasks properly and
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provides industrial robots with
imparts industrial robots
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