BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:AI for Robotic Vision & Control: Learning\, Perception\, and Robot ic Decision Intelligence DTSTART:20260916T120000Z DTEND:20260916T131500Z DTSTAMP:20260825T200600Z UID:indico-event-326@events.asc.ac.at CONTACT:training@ai-at.eu DESCRIPTION:Date: 16 September 2026\, 14:00 – 15:15 (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.Building on the foundations est ablished in the first session\, this webinar dives into how modern AI syst ems encode objects\, scenes\, and spatial relationships to support robotic reasoning and planning. It introduces spatially aware perception technolo gies - including neural representation learning and pose-aware object dete ction - that enable robots to localize and interpret objects in 3D space f or navigation and manipulation tasks. The session then turns to decision m aking\, providing an intuitive explanation of emerging paradigms such as V ision-Language Models (VLMs) and Vision-Language-Action (VLA) systems\, wh ich connect perception\, language understanding\, and action generation. I n contrast\, neurosymbolic approaches are presented as a complementary dir ection combining data-driven learning with structured\, rule-based reasoni ng. The session highlights the fundamental differences between these appro aches - including their strengths in generalization\, interpretability\, a nd structure - as well as their respective limitations in real-world robot ic applications.This session builds on From Computer Vision to Robotic Und erstanding  and prepares the ground for From Planning to Action in Roboti c Systems.Target audienceThis webinar is open and free of charge for all p articipants from academia\, industry\, and public administration from EU a nd/or EuroHPC JU member countries.Entry level & prerequisitesBasic - no pr evious experience required.AgendaNeural representation learning for roboti c vision (25 mins): How modern AI systems encode objects\, scenes\, and sp atial relationships to support downstream reasoning and planning.Pose-awar e object detection and task-oriented perception (20 mins): Overview of tec hnologies for detecting\, localizing\, and interpreting objects in 3D spac e\, with emphasis on how these capabilities support robotic navigation and manipulation.Decision making and task planning (30 mins): Introduction to VLMs\, VLAs\, and neurosymbolic approaches\; comparison of their capabili ties\, limitations\, and use cases for robotic decision making.  Speaker sDr. Csaba Beleznai (AIT Austrian Institute of Technology)            Dr. Csaba Beleznai is a Senior Scientist at the AIT Austrian Institu te of Technology\, bringing over 26 years of expertise in Computer Vision\ , Machine Learning\, and Deep Learning. His research focuses on solving co mplex 3D object pose estimation tasks essential for robotic navigation and object manipulation\, as well as developing advanced vision-based percept ion models for broader robotic applications. Dr. Beleznai holds an M.S. fr om the Technical University of Ilmenau (Germany) and a Ph.D. in Physics fr om Claude Bernard University\, Lyon (France). Committed to education\, he regularly lectures at various summer schools and universities\, including FH Wiener Neustadt and FH Technikum Wien. You can connect with him on Link edin via: https://www.linkedin.com/in/csaba-beleznai-78b3821/Dr. Patrik Zi ps (AIT Austrian Institute of Technology)           Dr. Patrik Z ips is a Senior Scientist at the AIT Austrian Institute of Technology\, wo rking in the Center for Vision\, Automation and Control. He has over 15 ye ars of experience in robotic task and motion planning\, with a strong focu s on developing algorithms that are robust and feasible in real-world sett ings involving highly nonlinear dynamics. His research bridges theory and practice\, with many of his methods deployed and validated in AIT’s larg e-scale robotics lab\, an experimental environment for autonomous utility machines operating in challenging outdoor conditions. Dr. Zips holds a PhD in Automation and a Master’s degree in Electrical Engineering from TU W ien. LinkedIn: https://www.linkedin.com/in/patrik-zips-b95523286/  Langua geEnglishDate\, time\, and location16.09.2026\, 14:00 – 15:15 (CET)\, LI VE ONLINE WEBINAR (Zoom)RegistrationRegistration is required\, the link to the registration form can be found on the top of this page in the menu on the left. Please register with your official institutional email address to prove your affiliation.You will get the Zoom link in the automatic conf irmation by email (subject starting with "[Indico] Registration")\, please check your Spam/Junk folders). We will also send 1–2 reminders before t he webinar.Please do not hesitate to contact us at training@ai-at.eu if yo u have any questions.OrganizersThis webinar is organized by AI Factory Aus tria AI:AT.AcknowledgementsAI Factory Austria AI:AT has received funding f rom the European High-Performance Computing Joint Undertaking (JU) under g rant agreement No 101253078. The JU receives support from the Horizon Euro pe Programm of the European Union and Austria (BMIMI / FFG). \n\nhttps:// events.asc.ac.at/event/326/ LOCATION:Zoom (ONLINE) URL:https://events.asc.ac.at/event/326/ END:VEVENT END:VCALENDAR