Robot Cloud Computing and Al Services - State-of-the-art Solutions, Challenges, and Needs
Jerry Gao, Dayong Wang
- 发表年份
- 2022
- 引用次数
- 4
摘要
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.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002