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Shreyansh Daftry

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge


Mar 28, 2021
Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael Wolf, Andrea Tagliabue, Tiago Stegun Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maira Saboia Da Silva, Benjamin Ramtoula, Yuki Kubo, Seyed Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Shim, Luca Carlone, Joel Burdick

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* For team website, see https://costar.jpl.nasa.gov/ 
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Machine Vision based Sample-Tube Localization for Mars Sample Return


Mar 17, 2021
Shreyansh Daftry, Barry Ridge, William Seto, Tu-Hoa Pham, Peter Ilhardt, Gerard Maggiolino, Mark Van der Merwe, Alex Brinkman, John Mayo, Eric Kulczyski, Renaud Detry

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* IEEE Aerospace Conference, 2021 
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Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching


Mar 05, 2021
Tu-Hoa Pham, William Seto, Shreyansh Daftry, Barry Ridge, Johanna Hansen, Tristan Thrush, Mark Van der Merwe, Gerard Maggiolino, Alexander Brinkman, John Mayo, Yang Cheng, Curtis Padgett, Eric Kulczycki, Renaud Detry

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* To appear in IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA 2021) 
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Online Photometric Calibration of Automatic Gain Thermal Infrared Cameras


Jan 11, 2021
Manash Pratim Das, Larry Matthies, Shreyansh Daftry

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* 8 pages, 6 figures, Pre-Print. This work has been submitted to the IEEE for possible publication 
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Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version)


Nov 11, 2020
Neil Abcouwer, Shreyansh Daftry, Siddarth Venkatraman, Tyler del Sesto, Olivier Toupet, Ravi Lanka, Jialin Song, Yisong Yue, Masahiro Ono

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* 9 pages, 5 figures, Pre-Print, This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
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Online Self-supervised Scene Segmentation for Micro Aerial Vehicles


Jun 13, 2018
Shreyansh Daftry, Yashasvi Agrawal, Larry Matthies

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* IEEE International Conference on Robotics and Automation (ICRA) 2018 Workshop on Representing a Complex World 
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Learning Transferable Policies for Monocular Reactive MAV Control


Aug 01, 2016
Shreyansh Daftry, J. Andrew Bagnell, Martial Hebert

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* International Symposium on Experimental Robotics (ISER 2016) 
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Introspective Perception: Learning to Predict Failures in Vision Systems


Jul 28, 2016
Shreyansh Daftry, Sam Zeng, J. Andrew Bagnell, Martial Hebert

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* IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016) 
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Robust Monocular Flight in Cluttered Outdoor Environments


Apr 16, 2016
Shreyansh Daftry, Sam Zeng, Arbaaz Khan, Debadeepta Dey, Narek Melik-Barkhudarov, J. Andrew Bagnell, Martial Hebert

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Building with Drones: Accurate 3D Facade Reconstruction using MAVs


Feb 25, 2015
Shreyansh Daftry, Christof Hoppe, Horst Bischof

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* 8 Pages, 2015 IEEE International Conference on Robotics and Automation (ICRA '15), Seattle, WA, USA 
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Vision and Learning for Deliberative Monocular Cluttered Flight


Nov 24, 2014
Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell

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