Exploring the Landscape of Cloud Robotics: A Comprehensive Review

Abstract

Cloud robotics is an innovative field that leverages cloud technologies-including cloud computing (CC), cloud storage, deep learning, big data, and the Internet of Things to augment the capabilities of robotics. This integration facilitates the execution of robotic functions through a converged infrastructure and shared services. The domain faces numerous challenges, such as the increasing demand for cloud security, ensuring performance accuracy, meeting the real-time requirements of diverse scenarios, ensuring rapid response, managing remoteness, and addressing network constraints. Although various studies have conducted systematic literature reviews (SLRs) on aspects like requirements elicitation, modeling, stakeholder analysis, and the selection and prioritization of robotics requirements, there has been limited focus on the technologies, research issues, and applications specific to cloud robotics. Addressing this gap, our paper presents an SLR on the achievements and challenges in cloud robotics, aiming to identify research gaps for future investigations in this field.