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Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The tremendous potential of driverless cars and other autonomous vehicles is contrasted by the growing concerns about their safety. Recent accidents have highlighted the risks autonomous vehicles pose to occupants, pedestrians, and other road users. The uptake of autonomous mobility systems relies upon public trust in the safety of these systems, which poses an inherently inter-disciplinary problem, related to multiple fields such as autonomy, machine learning, formal methods, control theory, automotive, railway, and aerospace.

Algorithmen und Datenstrukturen,    Fahrzeugbau. Strassennetz und Eisenbahn

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Autonomous systems are intended to operate without human intervention over prolonged time periods, perceive their operating environment, and adapt to changes – while pursuing defined goals or generating new ones. The perception functions process the inputs of various sensors and generate an internal model of the operating environment. By relying on this model, the decision functions plan and execute the actions required to achieve the goals of the mission. To achieve safety for an autonomous system, the engineers should ensure that the perception functions can sufficiently accurately build the model of the environment, i.e., perception and establishing a context for prediction are reliable. They also seek to ensure that the planned actions are safe, i.e., decisions do not result in actions that endanger humans or other agents in the operating environment.

Softwareentwicklung,    Neuronale Netze und Künstliche Intelligenz, Maschinelles Lernen

Thinkershub AB

Thinkershub BerlinRobo 2024: World Robotics conference taking place from April 15 to 17, 2024, at Hotel Dorint Kurfürstendamm in Berlin, Germany. This event brings together leading researchers, experts, and industry professionals from around the world to explore and showcase the latest advancements in robotics.

Tel.: [+46 72 780 62 73];     Email: contact@thinkershub.org

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

AI is a disruptive force. With growing applications in fields like healthcare, transportation, game playing, finance, or robotics in general, AI systems and methods are entering our everyday lives. Such tight interaction with AI requires serious safety, correctness, and reliability considerations. Recently, the field of safety in AI has triggered a vast amount of research. Via a diverse program with ample space for open yet guided discussion, we aim to address a number of key challenges that range across all fields.