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Robot Cloud Computing and Al Services - State-of-the-art Solutions, Challenges, and Needs

Jerry Gao, Dayong Wang

Year
2022
Citations
4

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

Cloud computingSoftware deploymentComputer scienceRobotService (business)Artificial intelligenceRoboticsBusiness modelService robotService-oriented architecture

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