Organizers

Igor Gilitschenski, MIT, igilitschenski@mit.edu [www | twitter]

Igor Gilitschenski is a Senior Postdoctoral Associate within the Computer Science and Artificial Intelligence Lab at MIY. Supervised by Daniela Rus and Sertac Karaman, he is working on perception for autonomous driving. Prior to that, he was affiliated with the Autonomous Systems Lab of ETH Zurich working with Roland Siegwart on robotic perception, particularly localization and mapping. He obtained a PhD degree in computer science working on nonlinear estimation at the Karlsruhe Institute of Technology supervised by Uwe Hanebeck and Simon Julier. His work has received best paper awards at the American Control Conference and the International Conference on Information Fusion. His research interests involve developing novel learning and inference techniques for perception and control of autonomous systems.

Juan Nieto, ETH Zürich, jnieto@ethz.ch [www]

Juan Nieto is the Deputy Director at the Autonomous Systems Lab, ETH Zurich. He received his PhD from the University of Sydney, at the Australian Centre for Field Robotics. He was also a Senior Research Fellow in Sydney, and a project lead at the Rio Tinto Centre for Mine Automation. He has organised several workshops, acted as editor and associate editor for a number of conferences and journals. He has been PI in several European projects, and was the vice-coordinator of the H2020 Flourish project. He is also involved in several projects with industrial partners such as Microsoft, Siemens, Intel, Disney Research, etc. He has published over 100 research papers.

Federico Tombari, TUM & Google, tombari@in.tum.de [www]

Federico Tombari is a research scientist and manager at Google and an adjunct lecturer (PrivatDozent) at the Technical University of Munich (TUM). He has more than 150 refereed papers in the field of computer vision and robotic perception. He got his PhD in 2009 from the University of Bologna, at the same institution he was Assistant Professor from 2013 to 2016. In 2008 and 2009 he was an intern and consultant at Willow Garage, California. Since 2014 he has been leading a team of PhD students at TUM on computer vision and deep learning. In 2017-2018, he was co-founder and managing director of Pointu3D Gmbh, a Munich-based startup on 3D perception for AR and robotics. He was the recipient of two Google Faculty Research Award (in 2015 and 2018) and an Amazon Research Award (in 2017). He has been a research partner of Google, Toyota, BMW, Audi, Amazon, Stanford and JHU. His works have been awarded at conferences and workshops such as 3DIMPVT'11, MICCAI'15, ECCV-R6D'16, AE-CAI'16, ISMAR '17

Daniela Rus, MIT, rus@csail.mit.edu [www]

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Rus’ research interests are in robotics, artificial intelligence, and data science. The focus of her work is developing the science and engineering of autonomy, toward the long-term objective of enabling a future with machines pervasively integrated into the fabric of life, supporting people with cognitive and physical tasks. Rus serves as the Associate Director of MIT’s Quest for Intelligence Core, and as Director of the Toyota-CSAIL Joint Research Center, whose focus is the advancement of AI research and its applications to intelligent vehicles. She is a member of the Toyota Research Institute advisory board. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering and the American Academy of Arts and Sciences. She is the recipient of the 2017 Engelberger Robotics Award from the Robotics Industries Association. She earned her PhD in Computer Science from Cornell University.