Article: Architecture and framework for data acquisition in cloud robotics Journal: International Journal of Information Technology, Communications and Convergence (IJITCC) 2021 Vol.4 No.1 pp.1 - 25 Abstract: This study explores a data acquisition architecture and framework in cloud robotics. 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 organised by the data. However, there are numerous tasks that must be performed to create such components, and their corresponding database schemas, services, and repositories, and these tasks can be burdensome for developers. In this paper, an architecture and framework for constructing a data acquisition system are presented as a theory and a concrete implementation, respectively. Our proposed architecture enables developers to construct a robot environment with data acquisition functionalities by defining scenarios in an ontology language, as well as by defining objects and services in modern programming languages. The framework is realised in a way that allows it to automatically generate the required software components and their corresponding repositories, which are deployed on the cloud. Case studies showcasing the proposed framework are also presented. Inderscience Publishers - linking academia, business and industry through research

Title: Architecture and framework for data acquisition in cloud robotics

Authors: Y. Watanobe; Y. Yaguchi; K. Nakamura; T. Miyaji; R. Yamada; K. Naruse

Addresses: Department of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan ' Department of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan ' Department of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan ' Department of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan ' Department of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan ' Department of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan

Abstract: This study explores a data acquisition architecture and framework in cloud robotics. 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 organised by the data. However, there are numerous tasks that must be performed to create such components, and their corresponding database schemas, services, and repositories, and these tasks can be burdensome for developers. In this paper, an architecture and framework for constructing a data acquisition system are presented as a theory and a concrete implementation, respectively. Our proposed architecture enables developers to construct a robot environment with data acquisition functionalities by defining scenarios in an ontology language, as well as by defining objects and services in modern programming languages. The framework is realised in a way that allows it to automatically generate the required software components and their corresponding repositories, which are deployed on the cloud. Case studies showcasing the proposed framework are also presented.

Keywords: cloud robotics; architecture; data acquisition; robotics technology components.

DOI: 10.1504/IJITCC.2021.119082

International Journal of Information Technology, Communications and Convergence, 2021 Vol.4 No.1, pp.1 - 25

Received: 26 May 2020
Accepted: 16 Nov 2020
Published online: 22 Nov 2021 *

Title: Architecture and framework for data acquisition in cloud robotics

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