Extending vision understanding capabilities of NAO robot by connecting it to a remote computational resource

Abstract

In this article authors briefly describe the concept and an exemplary implementation of a scalable vision understanding system. In the practical implementation a popular humanoid robot NAO is being used. The robot's video processing algorithm is capable of connecting to a remote computational resource (server or cluster) for running more sophisticated image understanding algorithms. The novelty of this paper involves the possibility to connect to a remote computational resource if needed. An exemplary way of using such a system - by building a remote cognitive system - is given. Basic outlines for further development of new service (Knowledge As a Service) for mobile robots are also given.