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 …

Deep Neural Networks (DNN) will emerge as a cornerstone in automotive software
engineering. However, developing systems with DNNs introduces novel challenges for …

In this paper we propose a new method for generating test scenarios for black-box
autonomous systems that demonstrate critical transitions in performance modes. This …

Digital twins offer a unique opportunity to design, test, deploy, monitor, and control real-
world robotic processes. In this paper we present a novel, modular digital twinning …

Abstract The Collision Avoidance (CA) system constitutes a key enabling technology for the
Maritime Autonomous Surface Ships (MASS), the appropriate functionality of which is critical …

We propose a novel method for generating test scenarios for a black box autonomous
system that demonstrate critical transitions in its performance modes. In complex …

Autonomous Driving Systems (ADSs) are complex systems that must satisfy multiple
requirements such as safety, compliance to traffic rules, and comfortableness. However …

The ability to navigate in diverse and previously unknown environments is a critical service
of autonomous robots. The validation of the navigation software typically involves test …

Self-driving Autonomous Vehicles (SAVs) are gaining more interest each passing day by the
industry as well as the general public. Tech and automobile companies are investing huge …