BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:AI for Robotic Vision & Control: From Computer Vision to Robotic U nderstanding DTSTART:20260909T120000Z DTEND:20260909T130000Z DTSTAMP:20260825T200400Z UID:indico-event-319@events.asc.ac.at CONTACT:training@ai-at.eu DESCRIPTION:Date: 09 September 2026\, 14:00 – 15:00 (CET) Price: Free (for eligible participants)Format: AI:AT Webinar\, ONLINE (Zoom) Target audience: Industry\, public admin\, academiaLanguage: English Organize r: AI:ATHow can robots see\, decide\, and act? This 3-part webinar series shows how AI connects visual perception\, world understanding\, planning\ , and control - revealing how robotic systems move from raw sensor data to intelligent action in real environments.   This webinar series offers a n accessible introduction to AI-based robotic vision and control\, with a strong focus on how perception\, planning\, and action are integrated into intelligent robotic systems. Designed for a broad audience\, the series w ill break down complex ideas to accessible explanations and examples\, wit hout requiring a deep technical background.This opening session of the web inar series offers an accessible introduction to AI-based robotic vision a nd control\, setting the stage for the sessions to follow. Starting from the historical evolution and motivation of computer vision\, it revisits f undamental questions: how machines recognize\, reconstruct\, and segment m eaningful real-world entities\, and what core complexities remain central to the field today. Building on this foundation\, the session introduces h ow modern AI systems transform raw sensor data into structured representat ions of objects\, scenes\, and spatial relationships. A central theme is t he transition from perception to action - examining how visual observation s are enriched with semantic meaning\, geometric structure\, and functiona l properties such as affordances\, enabling robots not only to see their e nvironment but to interpret it in terms of what actions are possible.This session lays the foundation for the follow-up webinars Learning\, Percepti on\, and Robotic Decision Intelligence and From Planning to Action in Robo tic Systems.Target audienceThis webinar is open and free of charge for all participants from academia\, industry\, and public administration from EU and/or EuroHPC JU member countries.Entry level & prerequisitesBasic - no previous experience required.AgendaOverview (15 mins): Introduction to the hands-on course\, learning objectives\, and the role of integrated AI sys tems in robotic perception\, planning\, and control.Historical motivation of computer vision (20 mins): A short look at the evolution of computer vi sion and the key questions that remain central today: what are the main co mplexities when addressing vision tasks.From images to robotic planning (2 0 mins): Transition from perception to structured representations: 3D unde rstanding\, object affordances\, and how vision enables task-relevant abst raction.SpeakersDr. Csaba Beleznai (AIT Austrian Institute of Technology)            Dr. Csaba Beleznai is a Senior Scientist at the AIT A ustrian Institute of Technology\, bringing over 26 years of expertise in C omputer Vision\, Machine Learning\, and Deep Learning. His research focuse s on solving complex 3D object pose estimation tasks essential for robotic navigation and object manipulation\, as well as developing advanced visio n-based perception models for broader robotic applications. Dr. Beleznai h olds an M.S. from the Technical University of Ilmenau (Germany) and a Ph.D . in Physics from Claude Bernard University\, Lyon (France). Committed to education\, he regularly lectures at various summer schools and universiti es\, including FH Wiener Neustadt and FH Technikum Wien. You can connect w ith him on Linkedin via: https://www.linkedin.com/in/csaba-beleznai-78b382 1/Dr. Patrik Zips (AIT Austrian Institute of Technology)            Dr. Patrik Zips is a Senior Scientist at the AIT Austrian Institute of Technology\, working in the Center for Vision\, Automation and Control. H e has over 15 years of experience in robotic task and motion planning\, wi th a strong focus on developing algorithms that are robust and feasible in real-world settings involving highly nonlinear dynamics. His research bri dges theory and practice\, with many of his methods deployed and validated in AIT’s large-scale robotics lab\, an experimental environment for aut onomous utility machines operating in challenging outdoor conditions. Dr. Zips holds a PhD in Automation and a Master’s degree in Electrical Engin eering from TU Wien. LinkedIn: https://www.linkedin.com/in/patrik-zips-b95 523286/  LanguageEnglishDate\, time\, and location09.09.2026\, 10:00 – 11:00 (CET)\, LIVE ONLINE WEBINAR (Zoom)RegistrationRegistration is requir ed\, the link to the registration form can be found on the top of this pag e in the menu on the left. Please register with your official institutiona l email address to prove your affiliation.You will get the Zoom link in th e automatic confirmation by email (subject starting with "[Indico] Registr ation")\, please check your Spam/Junk folders). We will also send 1–2 re minders before the webinar.Please do not hesitate to contact us at trainin g@ai-at.eu if you have any questions.OrganizersThis webinar is organized b y AI Factory Austria AI:AT.AcknowledgementsAI Factory Austria AI:AT has re ceived funding from the European High-Performance Computing Joint Undertak ing (JU) under grant agreement No 101253078. The JU receives support from the Horizon Europe Programm of the European Union and Austria (BMIMI / FFG ). \n\nhttps://events.asc.ac.at/event/319/ LOCATION:Zoom (ONLINE) URL:https://events.asc.ac.at/event/319/ END:VEVENT END:VCALENDAR