Debadeepta Dey

Researcher, Microsoft Research

About me

I am a researcher in the Adaptive Systems and Interaction (ASI) group led by Dr. Eric Horvitz at Microsoft Research, Redmond, USA

I finished my PhD at the Robotics Institute, Carnegie Mellon University, Pittsburgh, USA, where I was advised by Prof. Drew Bagnell. I do fundamental as well as applied research in machine learning, control and computer vision with applications to autonomous agents in general and robotics in particular.

I am interested in bridging the gap between perception and planning for autonomous ground and aerial vehicles. My interests include decison-making under uncertainty, reinforcement learning, artificial intelligence and machine learning. Nowadays I am especially interested in general aerial vehicle autonomy ranging from small quadrotors to large gliders.

I graduated in 2007 from Delhi College of Engineering with a Bachelors in Electrical Engineering. From 2007 to 2010 I was a researcher at the Field Robotics Center, Robotics Institute, Carnegie Mellon University

Google Scholar

Experience

News

10/2017: Upcoming invited talk at ICCV 2017 Workshop on Role of Simulation in Computer Vision

08/2017: Paper on efficient 3D scanning accepted at ICCV 2017

06/2017: Invited talk at International Symposium on Aerial Vehicles at University of Pennsylvania

05/2017: Paper on efficient route planning leveraging multi-armed bandits accepted at ICML 2017

04/2017: Paper on adaptive information gathering accepted at RSS 2017

03/2017: Paper on UAV tracking using flight dynamics accepted for oral presentation at CVPR 2017.

02/2017: We released open-source photo-realistic robotics simulator AirSim

01/2017: Two papers accepted at ICRA 2017.

12/2016: Sponsorship and Publicity Chair of Conference on Robot Learning.

10/2016: Invited talk at workshop on "Vision-based High Speed Autonomous Navigation of UAVs" at IROS 2017.

08/2016: Invited to NSF-UAS Advisory Board meeting at Dayton, OH.

07/2016: Co-organized workshop on "Safe-Cyber Physical Systems" at Faculty Summit, Microsoft Research.

06/2016: Presented at RSS Workshop on Task and Motion Planning at University of Michigan, Ann Arbor.

10/2015: Trajectory optimization for Team Chambliss at Red Bull Air Race at Dallas, TX.

08/2015: Joined Microsoft Research.

07/2015: Defended PhD thesis at Carnegie Mellon University.

Current and Past Interns

Elizabeth Bondi, USC (Fall 2017)

Ramya Ramakrishnan, MIT (Summer 2017)

Simon Ramstedt, TU Darmstadt (Summer 2017)

Benjamin Hepp, ETH Zurich (Summer 2017)

Felix Berkenkamp, ETH Zurich (Summer 2017)

Sanjiban Choudhury, CMU (Summer 2016)

Brian Axelrod, MIT (Summer 2016)

Wen Sun, CMU (Summer 2016)

Artem Rozantsov, EPFL (Summer 2016)

Mike Roberts, Stanford (Summer 2016, 2017)

Francisco Garcia, University of Massachusetts, Amherst, (Fall 2016)

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