greece
Algorithms
Data Science
Artificial Intelligence
Title: Foundation Models in Robotics
Speaker: Asst. Prof. Georgios Th. Papadopoulos (Harokopio University of Athens, Greece)
Abstract: The recent introduction of the so-called Foundation Models (FM), i.e. large-scale machine learning models (typically neural network architectures) that have been constructed using vast amounts of (multi-modal) training data and which can be applicable to a wide range of different/diverse tasks, has revolutionized research and technological solution development in the broader field of AI and beyond. The current talk will focus on how FMs are shaping research and development activities in the particular field of robotics. Specifically, the fundamental considerations and key benefits behind the use of FMs in robotics, as well as a brief overview of the recent research in the field, will be initially discussed. Additionally, a detailed discussion regarding the main robotic FM learning methodologies will be provided (namely pre-training, fine-tuning, reinforcement learning and imitation learning), along with the main strengths and limitations of each category of methods. Moreover, key FM-based methods for various robotics tasks (e.g. perception, natural language instructions, reasoning, and control) will be outlined. The talk will conclude with a summary of the current challenges and future research directions in the field.
Short Biography: Georgios Th. Papadopoulos received the M.Eng. and Ph.D. degrees in electrical and computer engineering from the Aristotle University of Thessaloniki, Greece, in 2005 and 2011, respectively. He is currently an Assistant Professor at the Department of Informatics and Telematics of the Harokopio University of Athens, Greece. His research interests include computer vision, machine/deep learning, robotics and artificial intelligence. He has more than 100 publications in international academic conferences and scientific journals. He has over 20 years of experience in participating to EU-funded R&I projects in the areas of ICT, security and robotics. He is a member of the IEEE and the Technical Chamber of Greece
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To position Greece as a leading player in AI and Data Science
To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world
Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).
On Thursday, 11 September, 2025, from 11:00 am to 12:30 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Professor Elias Koutsoupias of the University of Oxford, UK, will deliver a talk on "The Communication Complexity of Combinatorial Auctions in Graphs."
A new paper co-authored by John Pavlopoulos from Archimedes Research Unit at the Athena Research Center, Kanella K. Pouliand Maria Gavriilidou from the Institute for Language and Speech Processing (ILSP) at the Athena Research Center, and Juli Bakagianni from the Department of Informatics of the Athens University of Economics & Business (AUEB) has been accepted for publication at Patterns journal.
Upcoming workshop on Dialect NLP on “Standardization and Variation for Dialect Varieties with Universal Dependencies as an Application Framework” coming up. We are excited to announce that the Dialect NLP team at Archimedes, Athena Research Center, Greece, is organizing a workshop in collaboration with the MaiNLP Research Lab at Ludwig Maximilian University (LMU) of Munich.
The Archimedes Unit of the Athena Research Center, Greece is pleased to announce a new series of experientialworkshops on Artificial Intelligence (AI) and Natural Language, focusing on their contribution to and interaction with linguistic sciences.
The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.
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