Ayoung Kim is an Associate Professor in the Department of Mechanical Engineering at Seoul National University (SNU), leading the Robust Perception for Mobile Robotics lab. Before joining SNU, she was at the Department of Civil and Environmental Engineering of the Korea Advanced Institute of Science and Technology (KAIST) from 2014 to 2021. Her research interest is perceptual robot autonomy for navigation and spatial representation learning.

Daniel Cremers is a Professor at TUM, where he is holding the Chair of Computer Vision & Artificial Intelligence. He is also a co-founder of Artisense, a deep-tech startup developing computer vision and AI solutions for robotics and autonomous driving. Daniel has served as an area chair for ICCV, ECCV, CVPR, ACCV, IROS, etc., and as a program chair for ACCV 2014. In 2018, he was an organizer of ECCV in Munich. His publications received several awards and have been cited more than 70000 times. In 2016, Daniel received the Leibniz Award, the biggest award in German academia.

Frank Dellaert is CTO at Verdant Robotics and is also a Professor at the School of Interactive Computing at the Georgia Institute of Technology. His research focuses on probabilistic methods in robotics and computer vision. He has applied Markov chain Monte Carlo sampling methodologies in a variety of novel settings, from multitarget tracking to the correspondence problem. Before that, with D. Fox and S. Thrun, he introduced the Monte Carlo localization method for robot localization, which is now a standard and popular tool in mobile robotics.

Luca Carlone is the Boeing Career Development Associate Professor with the Department of Aeronautics and Astronautics, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA, and a Principal Investigator with the Laboratory for Information & Decision Systems, MIT. His research interests include nonlinear estimation and probabilistic inference, numerical and distributed optimization, and geometric computer vision applied to sensing, perception, and decision-making in single and multi-robot systems.

Niclas Zeller is a Professor at Karlsruhe University of Applied Sciences (HKA), at the faculty of Electrical Engineering and Information Technology. Before being appointed professor, Niclas worked as a senior computer vision & artificial intelligence researcher at Artisense and as an ADAS perception developer at Visteon in Karlsruhe. In 2018, Niclas obtained a PhD from TUM. His research focuses on SLAM and 3D perception based on different visual sensors.

Timothy D Barfoot is a Professor at the University of Toronto Institute for Aerospace Studies. He has been conducting research in the area of navigation of mobile robotics for over 20 years, both in industry and academia, for applications including space exploration, mining, military, and transportation. He is a Fellow of the IEEE Robotics and Automation Society.

Yan Xia is a tenure-track Associate Professor at the University of Science and Technology of China (USTC). He was a senior researcher in the Chair of Computer Vision & Artificial Intelligence at Technical University of Munich (TUM) and a research scientist at Munich Center for Machine Learning (MCML), working with Prof. Daniel Cremers.  He obtained his PhD degree from TUM in 2023 and was a visiting scholar in the Visual Geometry Group (VGG) at the University of Oxford. His research interests include 3D vision, robotics, and autonomous driving.