Data Acquisition Framework for Cloud Robotics

Abstract

In cloud robotics environments, software components play important roles by acquiring data from heterogeneous devices and then performing context-aware computing with the help of knowledge bases organized by the data. However, there are numerous tasks that must be performed to create such components, their corresponding database schemas, services, and repositories, and these tasks can be burdensome for developers. In this paper, a framework for constructing a data acquisition system with integrated robotic technology components and modern web-based technologies is presented. Our proposed framework enables developers to construct a robot environment with data acquisition functionalities by defining scenarios in an ontology language. The framework is realized in such a way that allows it to automatically generate the required software components and their corresponding repositories, which are deployed on the cloud. A case study showcasing the proposed framework is also demonstrated.