Conferences  >  Engineering  >  Robotics, Automation & Mechatronics  >  Germany

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.

Algorithms and Data Structures,    Automotive Engineering, Roads and Railways

Institute for Advanced Study (IAS), TU München

Level of automation in lab and large-scale facility experiments display enourmous increase in recent decades, where progress in diffraction studies of various kind is very remarkable. Relevance for automation in diffraction is driven by a multitude of reasons, ranging from improving efficiency in data collection and analysis, mail in and remote experiments to enabling more advanced and complex studies. In order to adress them, we organise one day „noon-to-noon“ Workshop „Automation in Diffraction“ taking place in Garching b. München on March, 14-15, 2024. The goal is to gather diffraction specialists and to discuss the challenges and solution strategies towards automation in diffraction experiments with respect to increase of instrumental throughput, enhancement of rapid and remote access as well as mail in services in diffraction applications.

Applied Physics (general),    X-rays, Synchrotron Radiation and Crystallography

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.

Software Engineering,    Neural Networks and Artificial Intelligence, Machine Learning

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.

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

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

This Dagstuhl Seminar aims to unify the international research on resilient and antifragile autonomous systems (RAAS), leading to faster scientific advancements and industrial adoption. To that end, the seminar wants to bring together leading researchers and practitioners with expertise in autonomous system resilience, antifragility, safety, and ethics from disciplines including Computer Science, Computational Biology, and Ethics, to share and discuss each other’s understanding of, methods for, and open challenges related to RAAS.

resilience, antifragility, autonomous systems, AI, safety, ethics and assurance of autonomous systems

Implementation and Applications of Artificial Intelligence,    Soft Computing, Evolutionary Computation, Metaheuristic Optimization, Fuzzy Logic

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.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

This Dagstuhl Seminar will gather experts in the areas of XR Technologies (Virtual Reality, Mixed Reality, and Augmented Reality), Conversational avatar assistants, UX: Gaze Control and Visual Attention, and Data Privacy and Security fields to delve into the intricacies, innovations, and transformative potential of telemedicine. This esteemed congregation should foster a dynamic exchange of ideas, insights, and breakthroughs that will redefine the landscape of healthcare delivery.

Telemedicine, eXtended Reality, eye tracking, collaborative Virtual Environments, Avatars

Human-Computer Interaction, User Experience,    Healthcare Technologies