Organizers

Sami Haddadin

MIRMI, Technical University of Munich. Germany

Bio: Sami Haddadin (Senior Member, IEEE) received the Dipl.-Ing. degree in electrical engineering and M.Sc. degree in computer science from the Technical University of Munich (TUM), Munich, Germany, in 2005 and 2009, respectively, the Dr.-Ing. degree in electrical engineering from RWTH Aachen, Aachen, Germany, in 2011, and the Honours degree in technology management from the Technical University of Munich and the Ludwig Maximilian University of Munich, Munich, Germany. He is the Founding and Executive Director of the Munich Institute of Robotics and Machine Intelligence, TUM, and the Chair of Robotics and Systems Intelligence. He has made significant contributions to tactile mechatronics, contact-aware robots, safety methods in human-robot interaction, and autonomous manipulation learning. From 2014 to 2018, he was the Chair of the Institute of Automatic Control, Gottfried Wilhelm Leibniz University Hannover, Hanover, Germany. He was a Researcher with the German Aerospace Center, Cologne, Germany. He is the Founder of Franka Emika, Munich, Germany. He has authored or authored more than 200 scientific articles in international journals and conferences, and many of them were award winning. His research interests include human-centered robotics, embodied artificial intelligence, collective intelligence, and human-robot symbiosis. Prof. Haddadin was the recipient of numerous awards for his scientific work, including several best paper awards at International Conference on Robotics and Automation, IEEE/RSJ International Conference on Intelligent Robots and Systems, and IEEE Transactions on Robotics, George Giralt Ph.D. Award in 2012, RSS Early Career Spotlight in 2015, IEEE/RAS Early CareerAward in 2015, Alfried Krupp Award for Young Professors in 2015, German President’s Award for Innovation in Science and Technology in 2017, and Leibniz Prize in 2019.

Etienne Burdet

Imperial College London, London, UK

Bio: Etienne Burdet, with a background including an MS in Mathematics, an MS in Physics, and a PhD from ETH Zurich, currently holds the position of Chair in Human Robotics at Imperial College London and serves as an Honorary Professor at University College London. His research merges neuroscience and robotics to explore human motor control intricacies and to develop advanced assistive technologies and training systems for neuro-rehabilitation. His innovations, such as Gripable.co and Myro@tyromotion.com, have been implemented in clinical trials and commercialized successfully. Noteworthy accolades include the 2015 UK NHS Innovation Challenge Prize, recognition as the recipient of the 2011 Best Paper Award from the IEEE Transactions on Robotics, and the 2009 Apple Research & Technology Support award. Etienne Burdet has held various academic roles globally, including Invited Professorships at Nanyang Technological University in Singapore, Sorbonne Université in France, and EPFL in Switzerland. His professional journey also encompasses significant consultancy engagements with A*STAR in Singapore and ATR International in Japan, as well as earlier roles as Senior Fellow at the National University of Singapore and as a Postdoctoral Fellow at Simon Fraser University in Canada and Northwestern University in the USA.

Erfan Shahriari

Technical University of Munich, Germany

Bio: Erfan Shahriari is a research associate at the Chair of Robotics and Systems Intelligence at the Technical University of Munich, where he also earned his PhD in Passivity-Based Planning and Control in Tactile Manipulation. He is also a visiting researcher at the Newman Laboratory for Biomechanics and Human Rehabilitation at the Massachusetts Institute of Technology. Previously, he conducted research at the Institute of Automatic Control at the Gottfried Wilhelm Leibniz University of Hanover, the Robotics Innovation Center at the German Research Center for Artificial Intelligence, and the Chair of Automatic Control Engineering at TUM. His research interests include contact-rich manipulation, learning in interaction control and human-centered robotics.

Abdalla Swikir

MIRMI, Technical University of Munich. Germany

Bio:Abdalla Swikir is a Senior Scientist and Teaching Coordinator at the Munich Institute of Robotics and Machine Intelligence (MIRMI), where he leads the Robot Learning research groups. He directs several high-profile EU projects, ranging from robotic design to applying AI on large-scale robotic systems. He is an IEEE senior member and the recipient of the 2023 IEEE CSS George S. Axelby Outstanding Paper and the 2023 IEEE Robotics and Automation Letters Best Paper Awards. His research interests are robotic and mechatronics, formal methods, compositional analysis and synthesis of interconnected hybrid systems using Symbolic Models, abstraction-based-techniques controller synthesis, security in large-scale cyber-physical systems, control barrier functions, stability analysis for Infinite network of nonlinear systems, and sliding mode control.

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