Robotic applications nowadays are widely adopted to enhance operational automation and
performance of real-world Cyber-Physical Systems (CPSs) including Industry 4.0 …

Recent advances in artificial intelligence have driven increasing intelligent applications at
the network edge, such as smart home, smart factory, and smart city. To deploy …

The world is becoming more digitised with the rise of modular robotic systems. Therefore,
with the increasing demands and needs for robotics, the modular robotic domain was …

Today's robotic systems are increasingly turning to computationally expensive models such
as deep neural networks (DNNs) for tasks like localization, perception, planning, and object …

Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …

Mobility, power, and price points often dictate that robots do not have sufficient computing
power on board to run contemporary robot algorithms at desired rates. Cloud computing …

As many robot automation applications increasingly rely on multi-core processing or deep-
learning models, cloud computing is becoming an attractive and economically viable …

Mobility, power, and price points often dictate that robots do not have sufficient computing
power on board to run contemporary robot algorithms at desired rates. Cloud computing …

The Robot Operating System (ROS2) is the most widely used software platform for building
robotics applications. FogROS2 extends ROS2 to allow robots to access cloud computing on …

As advanced algorithms enable robots to handle more challenging tasks and operate more
autonomously, the on-board computer cannot meet the increased demands regarding …