Today’s integration between cloud systems and the physical world is mostly focused on scalable, real–time processing of IoT sensor data. How the IoT and distributed cloud systems can advance robots and cyber–physical systems has received much less coverage so far. The special session invites original research papers as well as position papers that trigger inspiring discussions. As the challenges in this domain are multi–disciplinary, the session aims at building a bridge between researchers working in different fields, such as machine learning, artificial intelligence, software architecture, big data analytics, Internet–of–Things and distributed cloud systems.<br>SCOPE<br>Topics of interest include, but are not necessarily limited to:<br>* Architectures and middleware solutions for cyber–physical systems, integrating the IoT, the cloud/edge with robots and other actuators<br>* Distributed sensing, planning and actuation<br>* Cloud–based control systems, possibly using deterministic wireless or wired networking<br>* Tele–robotic systems<br>* Computational offloading and load balancing in robotics<br>* Multi–robot coordination and orchestration<br>* Self–adaptive cyber–physical and robotic systems<br>* Cloud–supported collective knowledge and parameter sharing between actuation systems<br>* Sensor fusion for improved control policies<br>* Transfer learning between tasks or across robotic systems<br>* Hands–on experiences and use cases in the fields of manufacturing, Industry 4.0, healthcare, active assisted living, logistics and transportation, security and surveillance, precision agriculture and others<br>
Abbrevation
IEEE CloudNet
City
Prague
Country
Czechia
Start Date
End Date
Abstract