Prof. Dongheui Lee
Dongheui Lee is Full Professor of Autonomous Systems at Institute of Computer Tech, Faculty of Electrical Engineering and Information Technology, TU Wien. She is also leading a Human-centered assistive robotics group at the German Aerospace Center (DLR). Her research interests include human motion understanding, human robot interaction, machine learning in robotics, and assistive robotics. Prior to her appointment at TU Wien, she was Assistant Professor and Associate Professor at Technical University of Munich (2009-2022), Project Assistant Professor at the University of Tokyo (2007-2009), and a research scientist at the Korea Institute of Science and Technology (KIST) (2001-2004). She obtained a PhD degree (2007) from the department of Mechano-Informatics, University of Tokyo in Japan and B.S. (2001) and M.S. (2003) degrees in mechanical engineering at Kyung Hee University, Korea. She was awarded a Carl von Linde Fellowship at the TUM Institute for Advanced Study (2011) and a Helmholtz professorship prize (2015). She has served as Senior Editor and a founding member of IEEE Robotics and Automation Letters (RA-L) and Associate Editor for the IEEE Transactions on Robotics.
Talk: Robot that learns complex task learning
Abstract: The Robotics research community has shown increased interest on robot skill learning in the past decade. Robot learning from imitating successful human demonstrations provides an efficient way to learn new skills, which can reduce the time and cost to program the robot. However, the techniques for robot learning from demonstrations are often limited to learning simple movement primitives. In this talk, I will review some of the background, motivations, and state of the art in robot learning from demonstrations towards complex task learning. I will introduce some of the recent progress which we made in our lab for bridging the low-level skill learning and task knowledge.
Dr. Sylvain Calinon
Dr Sylvain Calinon is a Senior Research Scientist at the Idiap Research Institute and a Lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL). He heads the Robot Learning & Interaction group at Idiap, with expertise in human-robot collaboration, robot learning from demonstration and model-based optimization. The approaches developed in his group can be applied to a wide range of applications requiring manipulation skills, with robots that are either close to us (assistive and industrial robots), parts of us (prosthetics and exoskeletons), or far away from us (shared control and teleoperation). Website: https://calinon.ch
Talk: Robot learning from few examples by exploiting the structure and geometry of data
Abstract: A wide range of applications can benefit from robots acquiring manipulation skills by interaction with humans. In this presentation, I will discuss the challenges that such a learning process encompasses, including representations for manipulation skills that can exploit the structure and geometry of the acquired data in an efficient way, the development of optimal control strategies that can exploit variations in manipulation skills, and the development of intuitive interfaces to acquire meaningful demonstrations.
Prof. Dr. Marko Munih
Prof. Dr. Marko Munih is Full Professor and Head of Laboratory of Robotics and was Head of Department for Measurements and Process Control at the Faculty of Electrical Engineering at UL (2004-6). He is leading the research group for Analysis and synthesis of human and machine motion. In the last 10 years, he was supervisor of 10 completed doctoral and over 60 diploma theses. As author or co-author he published more than 140 reviewed original scientific articles and 650 bibliography items in total with seven university books.
He is member of the IEEE, IFMBE, IFESS, and euRobotics. Now is teaching undergraduate courses “Microprocessor systems”, ” Robotic and measurement embeded systems “, “Kinematics and dynamics of robots” and ” Designing electromechanical devices ” and graduate course “Selected topics in robotics”.
Talk: Current advances and future challenges in robotic frontiers
- Peter Arko, Erih Arko: Yaskawa: Use of Digital Twins in Robotics Applications
- Prof. Andrej Gams: Robot Learning: From Imitation to Learning in Simulation
- Prof. Gernot Kronreif: Neurosurgical Robots – Is Small Also Beautiful?
- Prof. Doina Pisla: Advances in Medical Robotics