Overview and Framework of Quality Service Metrics for Cloud-Based Robotics Platforms

Abstract

With the rapid development of big data, cloud computing and other technologies, Cloud-based robotic has become one of the key research directions for service robot, such as used in hospitals. A framework and set of metrics for evaluating the quality of service (QOS) of a cloud robotic platform would be greatly facilitate research into and actual practice of service robots. In this paper, a QOS metrics framework of cloud robotic computing is summarized and the research of components and metrics of a cloud robotic platform is reviewed. QOS metrics are organized into software, network, and robotic services. By summarizing and analyzing the above three groups of metrics, a QOS framework or index system is proposed. Finally, future research towards open source and standardization of components of robotic cloud platform is discussed. INDEX TERMS Service robot, Cloud robotic platform, Quality of service, Software; Network, Metrics framework I. INTRODUCTION In the fourth industrial revolution, robotic technology has played an important role. In 2010, Professor Kuffner of Carnegie Mellon University proposed the concept of "cloud robot", which combines robotics with cloud computing, and unloads complex computing functions of robot such as data processing, planning, decision-making and cooperation to cloud platform. robots body only needs to be equipped with simple network equipment and basic sensors can complete complex tasks [1-3]. With the in-depth development of Internet technology, service robot can connect to cloud platform to select and invoke algorithm from cloud platform. Cloud robotic platform is not only an interactive platform, but also a cloud service platform for data transmission with robots. So how to evaluate a QOS of cloud robotic platform is a challenging task. At present, many experts and scholars have studied software QoS evaluation, network QoS evaluation and service robot related function QoS evaluation. Through the above three aspects, this paper is committed to establish a QOS metrics framework of cloud robotic platform. Firstly, the QOS of software in cloud platform should be tested; secondly, the QOS of network will also affect interaction ability in cloud platform; in addition, a robot will directly feedback effect of service, and its own QOS will be more intuitive. However, realization of grasping by service robot is limited by amount of data transmission, calculation speed, timeliness, etc., which cannot be carried out through the cloud platform, and is more suitable for its own terminal. Therefore, this paper