Survey on Cloud Robotics and Robot Operating System

The paper proposes cloud robotics which intends five parts which are for software architecture, trends and challenges, design based on a web technology, cloud computing platforms and cloud robotics in practical smart city applications. Software architecture involves lots of different cloud technologies like cloud storage and shared services for robotics for Robot Operating System. There are lots of trends in cloud robotics as it uses cloud technologies for robotics. The use of the cloud for automation brings some largely ameliorating the performance of robotics. Besides, the trends, there are some challenges in cloud robotics. Robot Operating System has been a standard tool in the design for cloud robotics. It always runs at the on-board computer but some resources of CPU do not allow the ability of robotics. In this problem, a good solution is to transfer the task to the cloud. Hence, the design of a cloud robotics middleware is based on web technology. Robotics with cloud computing gives lots of research scopes and research fields. In Smart City Applications, Real-Time Cloud Robotics is present. Real Time Cloud Robotics has emerged as an efficient computing means in data processing applications. By this we introduce CR20 cloud robotics platform that uses real time stream technology virtually to connect to different devices.

From Networked Robotics to Cloud and Big Data Supercharged Robotics: A Survey and Analysis

In recent years, with the prosperity of big data and cloud computing, robotics is evolving from conventional networked robotics to internet-scale connected, big data driven, and cloud resources supercharged multi-robot systems. In this survey paper, we present a survey of an advancing, pioneering, and multi-disciplinary field of research at the intersection of wireless sensor networks (WSN), robotics and big data. We discuss the concepts of networked robots. Networked robots refer to multiple robots working together in coordination with different types of embedded computers, sensors, and human users. Networked robotics allows multiple robots and supporting entities to execute tasks that are well beyond the capabilities of a single robot. The recent initiation of cloud technologies is opening new prospects for the provisioning of advanced robotic services based on the cooperation of some connected robots, smart environments and devices powered by the huge computational and storage capability of the cloud servers. We have recently witnessed the emergence of cloud computing on one hand and robotics platforms on the other hand. These two areas have been merging and resulting in the cloud robotics model to offer more distant services. Since networked robots require high computational and processing power, big data is becoming a dominant factor in networked and cloud robotics. This survey paper elaborates the primary concepts of networked and cloud robotics, their applications, challenges as well as the importance of big data in robotics, particularly, networked and cloud robotics and the noteworthy works in these areas.

Privacy Preserving Face Recognition in Cloud Robotics: A Comparative Study

Real-time robotic applications encounter the robot on board resources’ limitations. The speed of robot face recognition can be improved by incorporating cloud technology. However, the transmission of data to the cloud servers exposes the data to security and privacy attacks. Therefore, encryption algorithms need to be set up. This paper aims to study the security and performance of potential encryption algorithms and their impact on the deep-learning-based face recognition task’s accuracy. To this end, experiments are conducted for robot face recognition through various deep learning algorithms after encrypting the images of the ORL database using cryptography and image-processing based algorithms.