Labib Sadek Terrissa

Towards a new cloud robotics approach

For many years, robots appear in most fields (industrial, medical, education and military). Recently, the success in computer technology has advanced the the knowledge in creating intelligent robots. The cloud computing has potential to provide significant benefits to robots and automation systems. It enables a remotely processing with an unlimited access to dynamic global datasets and huge amount of computing and networking resources. In this paper, we will propose a new cloud robotics architecture where robots can be provided as a service easily, efficiently and cheaply. we will define a new kind of layer which is the Virtual robot Layer compared with classical cloud computing architecture. This layer consists of two entities : the Robot Management System and the Virtual Robot System.

A new approach of PHM as a service in cloud computing

Smart Manufacturing is the fourth revolution in the manufacturing industry “industry 4.0”. The integration of Internet of things and Cloud manufacturing becomes increasingly important for the development of the industry 4.0. The objective of industry 4.0 is not just to improve the production management but also manage and reduce equipment downtime, for that many strategies could be implemented to ensure the good condition of equipment. The efficient one is the predictive maintenance which collects information from sensors and predicts the malfunction or failure in the system. Prognostics Health Manager (PHM) offers significant benefits for maintenance. It predicts the future behavior of a system as well as its remaining useful life. This paper offers a new architecture to provide PHM solutions as a service in cloud computing environment (PHM-SaaS, PHM-PaaS, PHM-IaaS). We defined the entities and actors as well as their behavior in this architecture. To test our approach we were interested by the prognostics and post-prognostics process which are the main steps in the PHM technology, the remaining useful life is estimated in the prognostics step and according to this RUL a decision is automatically provided by the post prognostics process.

A web services based solution for the NAO robot in cloud robotics environment

Since a few years, the development of robots introduced the Cloud Computing paradigm in robotics field as “Cloud Robotics” generation. This new concept allows robots to outsource computing capabilities over the Cloud, whither the Computing involves extra power requirements that could reduce the duration of the process. In this paper, we outline a new Cloud Robotics architecture for NAO robots. Based on Robot Operating System (ROS) middleware, this approach integrates Web services technologies in a Cloud Computing environment, in order to enable Nao robots to consume their packages as an on-demand solution (as a service).