Mehmet Dogar Object manipulation with physics-based models, University of Leeds (School of Computing)
I am an Associate Professor at the School of Computing, University of Leeds, UK. My research focuses on robotic object manipulation, and I lead a group of researchers at Leeds on this topic. I am a Fellow of the EPSRC and the Alan Turing Institute. I am an Area Chair for the RSS conference, and an Associate Editor for the IEEE Robotics and Automation - Letters (RA-L). Previously I was a postdoctoral researcher at CSAIL, MIT. I received my PhD in 2013 from the Robotics Institute at CMU.
Farbod Farshidian Combining Model-based and Learning-based Frameworks for Motion Planning and Control of Robotic Systems, ETH Zurich (Robotic Systems Lab)
Dr. Farbod Farshidian (he/him) is a senior scientist at Robotic System Lab, ETH Zurich. He received his MSc. in electrical engineering from the University of Tehran, Iran, in 2012 and his Ph.D. from ETH Zurich, Switzerland, in 2017 on motion planning and control of legged systems. His research focuses on mobile robots’ motion planning and control, intending to develop algorithms and techniques to enable these robotic platforms to operate autonomously in real-world applications. His expertise covers optimization-based control, reinforcement learning, motion planning of legged systems, and mobile manipulators.
Vassilios Tsounis DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning, ETH Zurich (Robotic Systems Lab)
Vassilios Tsounis (he/him) received a Diploma degree in electrical and computer engineering from the National Technical University of Athens, Greece, in 2014. After a brief internship at the European Space Agency and working in the industry over 2014-15, he joined the Robotic Systems Lab, at ETH Zürich, Switzerland, as a Research Assistant and later a Doctoral Researcher. His research interests include machine learning and control as applied to the perception and locomotion of quadrupedal robots.
Matias Mattamala On physical, algebraic, geometric and probabilistic descriptions in robotics, University of Oxford (Oxford Robotics Institute)
Matias Mattamala completed a B.Sc, Ing. Civil and M.Sc in Electrical engineering at the Universidad de Chile. He developed a visual-proprioceptive SLAM system for humanoids for his master degree, and was a member of the UChile RoboCup SPL team. Currently he is a PhD student at the Dynamic Robot Systems (DRS) group at the Oxford Robotics Institute (ORI) supervised by Prof. Maurice Fallon. He is working toward the development of long-term visual navigation systems for dynamic quadruped robots. His research interests include computer vision and state estimation, as well as mathematical methods and geometry in robotics.
Prof. Yannis Smaragdakis Why Do a PhD and How to Pick an Area, University of Athens (Dept. of Informatics)
Yannis Smaragdakis (born 1972 in Athens, Greece) is a Greek American computer scientist and Professor at the National and Kapodistrian University of Athens as well as an Adjunct Professor at the University of Massachusetts Amherst. He is known for his work in Software engineering and Programming languages. In software engineering, he is noted for his invention of the concept of Mixin Layers in his PhD Thesis and his formation of Yannis's Law of Programmer Productivity which, by analogy to Moore's law, posits that Programmer productivity doubles every 6 years. In programming languages, he is noted for his work in Pointer analysis and serving Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) as Program Chair in 2016 and Conference Chair in 2019.
Prof. Eftratios Gavves The Machine Learning of Time: Past and Future, University of Amsterdam (QUVA Deep Vision Lab)
Dr. Efstratios Gavves is an Associate Professor with the University of Amsterdam in the Netherlands, Scientific Director of the QUVA Deep Vision Lab, and an ELLIS Scholar. He is a recipient of the ERC Career Starting Grant 2020 and NWO VIDI grant 2020 to research on the Computational Learning of Temporality for spatiotemporal sequences. Also, he is a co-founder of Ellogon.AI, a University spinoff and in collaboration with the Dutch Cancer Institute (NKI), with the mission of using AI for pathology and genomics. Efstratios has authored several papers in the top Computer Vision and Machine Learning conferences and journals and he is also the author of several patents. His research focus is on Temporal Machine Learning and Dynamics, Efficient Computer Vision, and Machine Learning for Oncology.
Prof. Kostas Alexis Field-hardened Resilient Robotic Autonomy, Norwegian University of Science and Technology (Department of Engineering Cybernetics)
Kostas Alexis obtained his Ph.D. in the field of aerial robotics control and collaboration from the University of Patras, Greece in 2011. His Ph.D. research was supported by the Greek National-European Commission Excellence scholarship. After successfully defending his Ph.D. thesis, he was awarded a Swiss Government fellowship and moved to Switzerland and ETH Zurich. From 2012 to June 2015 he held the position of Senior Researcher at the Autonomous Systems Lab of ETH Zurich, leading the lab efforts in the fields of control and path planning for advanced navigational and operational autonomy. During summer 2015 he moved to the Computer Science & Engineering Department of the University of Nevada, Reno where he got tenured in 2020. Since Fall 2020 he moved to the Department of Engineering Cybernetics at the Norwegian University of Science and Technology as a Full Professor. He is the founder and director of the Autonomous Robots Lab (https://www.autonomousrobotslab.com/) involving more than 15 researchers and conducting research in the domain of autonomy, perception, planning and control. Dr. Alexis' research has received multiple awards, includes the world record in unmanned aircraft endurance, and has been funded by a variety of sources including DARPA, NSF, DOE, USDA, NASA, the European Commission, the Norwegian Research Council the private sector and other sources.
Prof. Cristina Piazza New Perspectives in the Design and Control of Bionic Limb, Technical University of Munich (TUM)
Cristina Piazza is currently Professor for Healthcare and Rehabilitation Robotics at the Technical University of Munich (TUM). She received her PhD in Robotics at University of Pisa, Italy before moving to to Chicago (USA) where she worked as a Postdoctoral Researcher at the Department of Physical Medicine and Rehabilitation, Northwestern University and the Regenstein Foundation Center for Bionic Medicine, Shirley Ryan AbilityLab (former Rehabilitation Institute of Chicago). Her main research interests include the design and control of soft artificial limbs for robotic and prosthetic applications. She has also experience in designing and conducting clinical trials with amputee subjects.
Dr. Alperen Acemoglu 5G Telesurgery, Italian Institute of Technology (Advanced Robotics Lab)
Alperen Acemoglu received his B.Sc. degree in Mechanical Engineering from Istanbul Technical University, Turkey, in 2012 and M.Sc. degree in Mechatronics Engineering from Sabanci University, Turkey, in 2014. During his master’s studies, he worked on bio-inspired microswimmers which are aimed to be used in biomedical applications such as targeted drug delivery and opening clogged arteries. He received his Ph.D. degree in Bioengineering and Robotics from Istituto Italiano di Tecnologia (IIT) and Universita` Degli Studi di Genova, Italy, in 2018. During his Ph.D. studies, he worked on developing a compact magnetic laser scanner to enable the high-speed laser scanning and non-contact laser tissue ablations in hard-to-reach surgical sites. Currently, he is a postdoctoral researcher in Biomedical Robotics Laboratory, Department of Advanced Robotics, IIT. His research interests include medical robotics, 5G telesurgery, laser microsurgery, magnetically-actuated micromanipulators, and microswimmers.
Dr. Michael Everett Reliability in Robot Learning: Developing resilient autonomous systems for society, MIT (Aerospace Controls Lab)
Michael Everett is a Postdoctoral Associate at the MIT Department of Aeronautics and Astronautics and conducts research in the Aerospace Controls Laboratory. He received the PhD (2020), SM (2017), and SB (2015) degrees from MIT in Mechanical Engineering. His research addresses fundamental gaps at the intersection of machine learning, robotics, and control theory, with recent emphasis on developing the theory of safe and robust neural feedback loops. His works have been recognized with numerous awards and covered by major media outlets.
Dr. Justin Yim Saltatorial Locomotion on Terrain Obstacles, Carnegie Mellon University (Robomechanics Lab)
Justin Yim is a Computing Innovation Fellow at Carnegie Mellon University working with Aaron Johnson. He received his Ph.D. in Electrical Engineering at the University of California, Berkeley advised by Ronald Fearing in 2020. He received a B.S.E. and M.S.E. from the University of Pennsylvania.
Dr. Joao Bimbo Contact Sensing for Robot Grasping, Yale University (The GRAB lab)
Joao Bimbo is currently a Postdoctoral Associate at the GrabLab in Yale University. He obtained his PhD in Robotics at King's College London, before moving to the Italian Institute of Technology in Italy. His main research interest are in robot grasping and tactile sensing.