Vadim Indelman

Associate Professor

Department of Aerospace Engineering
Technion Autonomous Systems Program (TASP)
Machine Learning and Intelligent Systems (MLIS) Center
Technion – Israel Institute of Technology

 

 

My research broadly lies at the intersection of probabilistic perception, state estimation and planning, both for single and distributed multi-agent autonomous systems. I am interested in enabling a reliable, accurate and on-line operation in complex scenarios, particularly focusing on operation in uncertain, partially unknown and dynamic environments. Accordingly, my research interests include autonomous navigation and mapping, consistent distributed information fusion, belief-space planning and active sensing, distributed robust perception, inference with probabilistic graphical models, vision-aided navigation (VAN) and simultaneous localization and mapping (SLAM). Additionally, since 2017 I’m serving as an Associate Editor for IEEE Robotics & Automation Letters (RA-L), Senior Editor for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) between 2021-2023, and as an Area Chair at International Symposium on Multi-Robot and Multi-Agent Systems (MRS) 2021. Since 2019, I am also serving as a co-chair of the IEEE Robotics and Automation Society Technical Committee on Algorithms for the Planning and Control of Robot Motion.

Prior to joining the Faculty of Aerospace Engineering at the Technion in July 2014, I was a postdoctoral associate fellow at the Institute of Robotics and Intelligent Machines (IRIM) at the Georgia Institute of Technology (between 2012 and 2014). At IRIM, I worked in Frank Dellaert‘s research group on several topics that combined mobile robotics and computer vision. I received my PhD (2011) in Aerospace Engineering from the Technion under the guidance of Pini Gurfil, Ehud Rivlin and Hector Rotstein. I also hold B.A. (Cum Laude) and B.Sc. (Summa Cum Laude) degrees in Computer Science and Aerospace Engineering, respectively, both awarded by the Technion in 2002.

 

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