SERKET: An Architecture for Connecting Stochastic Models to Realize a Large-Scale Cognitive Model

4 Dec 2017Tomoaki NakamuraTakayuki NagaiTadahiro Taniguchi

To realize human-like robot intelligence, a large-scale cognitive architecture is required for robots to understand the environment through a variety of sensors with which they are equipped. In this paper, we propose a novel framework named Serket that enables the construction of a large-scale generative model and its inference easily by connecting sub-modules to allow the robots to acquire various capabilities through interaction with their environments and others... (read more)

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