In this paper, we introduce Aware, a knowledge-enabled framework for robots' situational
awareness. It is designed to support autonomous logistics vehicles operating in automobile …

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

Information overload is a severe problem for human operators of large-scale control systems
as, for example, encountered in the domain of road traffic management. Operators of such …

Large-scale control systems, as encountered in the domain of road traffic management,
typically deal with highly-dynamic environments providing information about a large number …

Nowadays, many models performing global robotic navigation exist, and they are capable to
reach their set destination safely and autonomously. However, most of them don't take into …

Abstract Autonomous Guided Vehicles (AGV) are an enabling technology that has changed
the landscape for the new generation of manufacturing systems. Because AGV must interact …

Full autonomy of road vehicles is a major goal of the automotive industry. To reach such
high autonomy it is necessary to provide an accurate and comprehensible situation …

Ontology-based systems can offer enticing benefits for autonomous vehicle applications.
One such system is an ontology-based decision-making system. This system takes …

Semantic navigation is the navigation paradigm in which environmental semantic concepts
and their relationships are taken into account to plan the route of a mobile robot. This …

A robot, in order to be autonomous, needs some kind of representation of its surrounding
environment. From a general point of view, basic robotic tasks (such as localization …