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SUMMARY:AI for Robotic Vision & Control: From Planning to Action in Roboti
 c Systems
DTSTART:20261005T120000Z
DTEND:20261005T133000Z
DTSTAMP:20261014T045600Z
UID:indico-event-327@events.asc.ac.at
CONTACT:training@ai-at.eu
DESCRIPTION:Date: 05 October 2026\, 14:00 – 15:30 (CET) Price: Free (
 for eligible participants)Format: AI:AT Webinar\, ONLINE (Zoom) Target a
 udience: Industry\, public admin\, academiaLanguage: English Organizer:
  AI:ATHow can robots see\, decide\, and act? This 3-part webinar series s
 hows how AI connects visual perception\, world understanding\, planning\, 
 and control - revealing how robotic systems move from raw sensor data to i
 ntelligent action in real environments.   This webinar series offers an 
 accessible introduction to AI-based robotic vision and control\, with a st
 rong focus on how perception\, planning\, and action are integrated into i
 ntelligent robotic systems. Designed for a broad audience\, the series wil
 l break down complex ideas to accessible explanations and examples\, witho
 ut requiring a deep technical background.The final session of the webinar 
 series connects vision and reasoning to action\, exploring how robotic sys
 tems are built end to end. It introduces task and motion planning (TAMP) a
 s the bridge between high-level symbolic reasoning and low-level geometric
  execution\, covering architectural strategies from separate and interleav
 ed approaches to fully integrated formulations - and the trade-offs betwee
 n modularity\, computational complexity\, and robustness. The session then
  examines robotic control strategies\, contrasting reinforcement learning 
 and imitation learning and how robots acquire and adapt skills in dynamic 
 environments. Bringing the series full circle\, the closing session offers
  a systems-level view of how perception\, planning\, and control are combi
 ned into robust robotic solutions. Real-world examples from industrial aut
 omation - including production\, logistics\, mining\, and forestry - illus
 trate how these technologies come together in practice\, followed by key t
 akeaways and an open discussion with the audience.This session brings toge
 ther the concepts introduced in From Computer Vision to Robotic Understand
 ing and Learning\, Perception\, and Robotic Decision Intelligence into a c
 omplete systems perspective.Target audienceThis webinar is open and free o
 f charge for all participants from academia\, industry\, and public admini
 stration from EU and/or EuroHPC JU member countries.Entry level & prerequi
 sitesBasic - no previous experience required.AgendaTask and motion plannin
 g (TAMP) (20 mins): Concepts and architectures: separate\, interleaved\, a
 nd combined planning\; linking symbolic task reasoning with geometric moti
 on planning.Robotic control strategies (20 mins): Reinforcement learning v
 s. imitation learning\; how robots acquire skills and adapt to dynamic env
 ironments.Building integrated robotic systems (20 mins): Systems-level vie
 w of how perception\, planning\, and control components are combined into 
 robust robotic solutions for weakly controlled or dynamic environments.App
 lied examples and closing discussion (20 mins): Examples from industrial a
 utomation domains such as production\, logistics\, mining\, and forestry\,
  followed by key takeaways and audience questions SpeakersDr. Csaba Belez
 nai (AIT Austrian Institute of Technology)          Dr. Csaba Bel
 eznai is a Senior Scientist at the AIT Austrian Institute of Technology\, 
 bringing over 26 years of expertise in Computer Vision\, Machine Learning\
 , and Deep Learning. His research focuses on solving complex 3D object pos
 e estimation tasks essential for robotic navigation and object manipulatio
 n\, as well as developing advanced vision-based perception models for broa
 der robotic applications. Dr. Beleznai holds an M.S. from the Technical Un
 iversity of Ilmenau (Germany) and a Ph.D. in Physics from Claude Bernard U
 niversity\, 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 Linkedin via: https://w
 ww.linkedin.com/in/csaba-beleznai-78b3821/Dr. Patrik Zips (AIT Austrian In
 stitute of Technology)          Dr. Patrik Zips is a Senior Scien
 tist at the AIT Austrian Institute of Technology\, working in the Center f
 or Vision\, Automation and Control. He has over 15 years of experience in 
 robotic task and motion planning\, with a strong focus on developing algor
 ithms that are robust and feasible in real-world settings involving highly
  nonlinear dynamics. His research bridges theory and practice\, with many 
 of his methods deployed and validated in AIT’s large-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 Wien. LinkedIn: https:
 //www.linkedin.com/in/patrik-zips-b95523286/  LanguageEnglishDate\, time\
 , and location05.10.2026\, 14:00 – 15:30 (CET)\, LIVE ONLINE WEBINAR (Zo
 om)RegistrationRegistration is required\, the link to the registration for
 m can be found on the top of this page in the menu on the left. Please reg
 ister with your official institutional email address to prove your affilia
 tion.You will get the Zoom link in the automatic confirmation by email (su
 bject starting with "[Indico] Registration")\, please check your Spam/Junk
  folders). We will also send 1–2 reminders before the webinar.Please do 
 not hesitate to contact us at training@ai-at.eu if you have any questions.
 OrganizersThis webinar is organized by AI Factory Austria AI:AT.Acknowledg
 ementsAI Factory Austria AI:AT has received funding from the European High
 -Performance Computing Joint Undertaking (JU) under grant agreement No 101
 253078. The JU receives support from the Horizon Europe Programm of the Eu
 ropean Union and Austria (BMIMI / FFG). \n\nhttps://events.asc.ac.at/even
 t/327/
LOCATION:Zoom (ONLINE)
URL:https://events.asc.ac.at/event/327/
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