Autonomous systems will soon be integrating into our lives as home assistants, delivery
drones, and driverless cars. The implementation of the level of automation in these systems …

Autonome Systeme, die selbstständig ein ihnen vorgegebenes Ziel erreichen können, sind
nur auf der Basis von Methoden und Werkzeugen der Künstlichen Intelligenz (KI) …

Interest in semi-autonomous systems (SAS) is growing rapidly as a paradigm to deploy
autonomous systems in domains that require occasional reliance on humans. This paradigm …

We present a general formal model called MODIA that can tackle a central challenge for
autonomous vehicles (AVs), namely the ability to interact with an unspecified, large number …

Teams of semi-autonomous robots can provide valuable assistance in Urban Search and
Rescue (USAR) by efficiently exploring cluttered environments and searching for potential …

We consider robot learning in the context of shared autonomy, where control of the system
can switch between a human teleoperator and autonomous control. In this setting we …

We consider shared autonomy systems where multiple operators (AI and human), can
interact with the environment, eg by controlling a robot. The decision problem for the shared …

Simulators are being increasingly used to train agents before deploying them in real-world
environments. While training in simulation provides a cost-effective way to learn, poorly …

We present solutions for autonomous vehicles in limited visibility scenarios, such as
traversing T-intersections, as well as detail how these scenarios can be handled …

Building autonomous systems for deployment in the open world has been a longstanding
objective in both artificial intelligence and robotics. The open world, however, presents …