Scaling the distribution of automated vehicles requires handling various unexpected and
possibly dangerous situations, termed corner cases (CC). Since many modules of …

This publication discusses how to deal with self-organizing systems that use artificial
intelligence from a practical perspective. Instead of following the media narrative that …

The increasing interest in searching for intelligent, proactive, and autonomous environments
leads to the necessity of accessing contextual knowledge: knowledge about changes that …

With the development of autonomous vehicles, recent research focuses on semantically
representing robotic proprioceptive and exteroceptive perceptions (ie, perception of the own …

This paper introduces a novel mission-planning scheme to coordinate a heterogeneous
team of mobile robots under fuel and communication constraints. The proposed scheme has …

The book concentrates on the impact of digitalization and digital transformation technologies
on the Industry 4.0 and smart factories, how the factory of tomorrow can be designed, built …

This chapter briefly reviews the technological background behind digitalization and digital
transformation, ranging over Artificial Intelligence (AI), Machine Learning (ML, as a central …

This chapter briefly describes how to build a digital twin and how to make it work in order to
benefit a modern factory. It describes how the digital twin is controlled and automated, and …

Autonomous Driving (AD) systems use digital maps as a virtual sensor to anticipate the road
ahead and make decisions. The evolution of digital maps has posed a range of challenges …

With the fast-paced proliferation of robots in our daily lives, it is especially important that the
human experience is prioritized for human-robot interactions and automated systems. We …