Robot Cloud Computing and Al Services - State-of-the-art Solutions, Challenges, and Needs
Publication Date
1-1-2022
Document Type
Conference Proceeding
Publication Title
Proceedings - 16th IEEE International Conference on Service-Oriented System Engineering, SOSE 2022
DOI
10.1109/SOSE55356.2022.00019
First Page
105
Last Page
116
Abstract
According to the PRNewswire research report, Cloud Robotics Market will witness a YOY growth of 21.19% in 2022 at a CAGR of 22.26% during the forecast period. This strong demand has brought more research interest in cloud platforms for robotics integration services. Most of the available research results and commercial application technology solutions try to build robot cloud services from robot computing offloading, map data sharing, and human-robot interaction back-end support. However, there is a lack of research results for building a robot cloud that fully supports comprehensive business such as robot resource management, AI service support, robot big data analysis, and business intelligence. In this work, we present complete robotic cloud construction requirements and specific technical issues at different levels. The robotic cloud architecture design issues are discussed in several dimensions, including the service model, deployment model, business application model, and edge computing model of the robotic cloud, and finally, an overall robotic cloud architecture design is proposed.
Keywords
Robot, robot cloud, robot cloud computing, robot cloud service
Department
Computer Engineering
Recommended Citation
Jerry Gao and Dayong Wang. "Robot Cloud Computing and Al Services - State-of-the-art Solutions, Challenges, and Needs" Proceedings - 16th IEEE International Conference on Service-Oriented System Engineering, SOSE 2022 (2022): 105-116. https://doi.org/10.1109/SOSE55356.2022.00019
