A Cloud Control Robotics Platform Based on Intelligent Deployment of Micro-services

Cloud robotics has become a strategic focus of the development of the information technology industry in recent years. More and more cloud robotics platforms have been developed and applied in the field of robotics. Although its emergence has brought powerful computing and storage capabilities to the native robot system, the existing cloud robot platform architecture is relatively single and jumbled, and it is difficult to be efficiently expanded and updated. Inspired by the idea of cloud control system, this paper proposes a cloud control robot system architecture based on micro-services. We designed a Proxy module, which realizes the common function of the network layer by converting ROS system message format into JSON format, and builds a data transmission bridge between the cloud and the edge computing platform. Then we use Kubernetes, Docker, CI/CD and other technologies to realize an automatic deployment of the cloud robotics platform. A method is given to deploy and run ROS instances in the cloud, enabling ROS-based service robots to run computation-intensive tasks. Finally, Gmapping ROS package is used to test on the cloud control robotics platform compared with PC. Experimental results verify the feasibility of cloud control robotics platform.