Flexible and User-Centric Camera Calibration using Planar Fiducial Markers. - Shreyansh Daftry; Michael Maurer; Andreas Wendel; Horst Bischof (BMVC, 2013)

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 (FSR, 2015)

Building with drones: Accurate 3D facade reconstruction using MAVs. - Shreyansh Daftry; Christof Hoppe; Horst Bischof (ICRA, 2015)

Introspective perception: Learning to predict failures in vision systems. - Shreyansh Daftry; Sam Zeng; J. Andrew Bagnell; Martial Hebert (IROS, 2016)

Learning Transferable Policies for Monocular Reactive MAV Control. - Shreyansh Daftry; J. Andrew Bagnell; Martial Hebert (ISER, 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)

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)

Online Self-Supervised Long-Range Scene Segmentation for MAVs. - Shreyansh Daftry; Yashasvi Agrawal; Larry H. Matthies (IROS, 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 (ISER, 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 (ISER, 2018)

Online Self-supervised Scene Segmentation for Micro Aerial Vehicles. - Shreyansh Daftry; Yashasvi Agrawal; Larry H. Matthies (CoRR, 2018)

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)

Autonomous Planetary Landing via Deep Reinforcement Learning and Transfer Learning. - Giulia Ciabatti; Shreyansh Daftry; Roberto Capobianco (CVPR Workshops, 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)

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; et al. (CoRR, 2021)

Online Photometric Calibration of Automatic Gain Thermal Infrared Cameras. - Manash Pratim Das; Larry H. Matthies; Shreyansh Daftry (IEEE Robotics Autom. Lett., 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; et al. (IEEE Robotics Autom. Lett., 2021)

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)

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)

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; et al. (Field Robotics, 2022)

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)

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)

The Mixed-Observable Constrained Linear Quadratic Regulator Problem: The Exact Solution and Practical Algorithms. - Ugo Rosolia; Yuxiao Chen 001; Shreyansh Daftry; Masahiro Ono; Yisong Yue; Aaron D. Ames (IEEE Trans. Autom. Control., 2023)