Shreyansh Daftry

According to our database, Shreyansh Daftry authored at least 23 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The Exact Solution and Practical Algorithms.

Ugo Rosolia, Yuxiao Chen, Shreyansh Daftry, Masahiro Ono, Yisong Yue, Aaron D. Ames

IEEE Trans. Autom. Control., July, 2023

ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation.

Abhishek Cauligi, R. Michael Swan, Masahiro Ono, Shreyansh Daftry, John Elliott, Larry H. Matthies, Deegan Atha

CoRR, 2023

LunarNav: Crater-based Localization for Long-range Autonomous Lunar Rover Navigation.

Shreyansh Daftry, Zhanlin Chen, Yang Cheng, Scott Tepsuporn, Brian Coltin, Ussama Naam, Lanssie Mingyue Ma, Shehryar Khattak, Matthew Deans, Larry H. Matthies

CoRR, 2023

2022

NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas 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, Maíra Saboia da Silva, Benjamin Ramtoula, Seyed Abolfazl 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, Hovhannes Melikyan, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick

Field Robotics, March, 2022

MLNav: Learning to Safely Navigate on Martian Terrains.

Shreyansh Daftry, Neil Abcouwer, Tyler del Sesto, Siddarth Venkatraman, Jialin Song, Lucas Igel, Amos Byon, Ugo Rosolia, Yisong Yue, Masahiro Ono

IEEE Robotics Autom. Lett., 2022

Lunar Rover Localization Using Craters as Landmarks.

Larry H. Matthies, Shreyansh Daftry, Scott Tepsuporn, Yang Cheng, Deegan Atha, R. Michael Swan, Sanjna Ravichandar, Masahiro Ono

CoRR, 2022

2021

Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching.

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 A. Kulczycki, Renaud Detry

IEEE Robotics Autom. Lett., 2021

Online Photometric Calibration of Automatic Gain Thermal Infrared Cameras.

Manash Pratim Das, Larry H. Matthies, Shreyansh Daftry

IEEE Robotics Autom. Lett., 2021

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

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Stegun Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas 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, Maíra Saboia da Silva, Benjamin Ramtoula, Yuki Kubo, Seyed Abolfazl 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, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick

CoRR, 2021

Machine Vision based Sample-Tube Localization for Mars Sample Return.

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

CoRR, 2021

Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning.

Giulia Ciabatti, Shreyansh Daftry, Roberto Capobianco

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Machine Learning Based Path Planning for Improved Rover Navigation (Pre-Print Version).

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

CoRR, 2020

2018

Online Self-supervised Scene Segmentation for Micro Aerial Vehicles.

Shreyansh Daftry, Yashasvi Agrawal, Larry H. Matthies

CoRR, 2018

Characterization and Traversal of Pliable Vegetation for Robot Navigation.

Camilo Ordonez, Ryan Alicea, Brandon Rothrock, Kyle Ladyko, Jeremy Nash, Rohan Thakker, Shreyansh Daftry, Mario Harper, Emmanuel G. Collins Jr., Larry H. Matthies

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Robust Vision-Based Autonomous Navigation, Mapping and Landing for MAVs at Night.

Shreyansh Daftry, Manash Pratim Das, Jeff Delaune, Cristina Sorice, Robert A. Hewitt, Shreetej Reddy, Daniel Lytle, Elvin Gu, Larry H. Matthies

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Online Self-Supervised Long-Range Scene Segmentation for MAVs.

Shreyansh Daftry, Yashasvi Agrawal, Larry H. Matthies

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance.

Markus Rumpler, Alexander Tscharf, Christian Mostegel, Shreyansh Daftry, Christof Hoppe, Rudolf Prettenthaler, Friedrich Fraundorfer, Gerhard Mayer, Horst Bischof

Comput. Vis. Image Underst., 2017

2016

Robust Monocular Flight in Cluttered Outdoor Environments.

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

CoRR, 2016

Learning Transferable Policies for Monocular Reactive MAV Control.

Shreyansh Daftry, J. Andrew Bagnell, Martial Hebert

Proceedings of the International Symposium on Experimental Robotics, 2016

Introspective perception: Learning to predict failures in vision systems.

Shreyansh Daftry, Sam Zeng, J. Andrew Bagnell, Martial Hebert

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Building with drones: Accurate 3D facade reconstruction using MAVs.

Shreyansh Daftry, Christof Hoppe, Horst Bischof

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Vision and Learning for Deliberative Monocular Cluttered Flight.

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

Proceedings of the Field and Service Robotics, 2015

2013

Flexible and User-Centric Camera Calibration using Planar Fiducial Markers.

Shreyansh Daftry, Michael Maurer, Andreas Wendel, Horst Bischof

Proceedings of the British Machine Vision Conference, 2013