The recent digital revolution led robots to become integrated more than ever into different
domains such as agricultural, medical, industrial, military, police (law enforcement), and …

Motivated by the advancing computational capacity of distributed end-user equipment (UE),
as well as the increasing concerns about sharing private data, there has been considerable …

Future robotic systems will be situated in highly networked environments where they
communicate with industrial control systems, cloud services or other systems at remote …

The use of robots in the modern world is widespread, not only in medicine and automated
vehicles, but also in national security, defense, and industry. Together with the growing …

Abstract The Internet of Robotic Things (IoRT) integrates robots and autonomous devices,
transforming industries such as manufacturing, healthcare, and transportation. However …

Cybersecurity in Robotics is a rapidly developing area that draws attention from practitioners
and researchers. An increase in cyber-attacks, combined with the development of …

Deep learning in robot systems is a popular application that can learn and train the results
per requirements, but that collects sensitive information in the training process, easily …

ROS is the most popular framework in robotics research and it also grows in terms of
industrial use. This makes ROS a worthwhile target for attackers especially since security is …

ROS 2 is rapidly becoming a standard in the robotics industry. Built upon DDS as its default
communication middleware and used in safety-critical scenarios, adding secu-rity to robots …

The development of robotics technology is accelerated by the strong support from cloud
computing. Massive computation resources and services from the cloud make modern multi …