Machine learning has evolved into an enabling technology for a wide range of highly
successful applications. The potential for this success to continue and accelerate has placed …

Developing advanced robotics applications is now facing the safety issue for users, the
environment, and the robot itself, which is a main limitation for their deployment in real life …

Few today would dispute that the age of autonomous machines is nearly upon us (cf.,
Kurzweil, 2005; Moravec, 1988), if it is not already. While it is doubtful that one can identify …

Objectives Establishing confidence in the safety of Artificial Intelligence (AI)-based clinical
decision support systems is important prior to clinical deployment and regulatory approval …

Autonomy is the core capability of future systems, and architecture design is one of the
critical issues in system development and implementation. To discuss the architecture of …

Featured Application The 6-wheel general purpose autonomous mobile robot can be used
for various material transport tasks. Fully autonomous disinfection of large areas is provided …

A significant challenge to deploying mission-and safety-critical autonomous systems is the
difficulty of creating a credible assurance argument. This paper collects lessons learned …

The exponential growth of the Internet of Things (IoT) has paved the way for safety-critical
cyber-physical systems to enter our everyday activities. While such systems have changed …

The objective of this research is to present the state of the art of the safety assurance of
Artificial Intelligence (AI)-based systems and guidelines on future correlated work. For this …

High-accurate machine learning (ML) image classifiers cannot guarantee that they will not
fail at operation. Thus, their deployment in safety-critical applications such as autonomous …