MARAAL: A Low Altitude Long Endurance Solar Powered UAV For Surveillance and Mapping Applications. - Vijay Shankar Dwivedi; Jay Patrikar; Amulya Addamane; A. K. Ghosh (MMAR, 2018)

Convolutional Neural Network Based Sensors for Mobile Robot Relocalization. - Harsh Sinha; Jay Patrikar; Eeshan Gunesh Dhekane; Gaurav Pandey; Mangal Kothari (MMAR, 2018)

Wind and the City: Utilizing UAV-Based In-Situ Measurements for Estimating Urban Wind Fields. - Jay Patrikar; Brady G. Moon; Sebastian A. Scherer (IROS, 2020)

CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model. - Arnav Choudhry; Brady G. Moon; Jay Patrikar; Constantine Samaras; Sebastian A. Scherer (ICRA, 2021)

In-flight positional and energy use data set of a DJI Matrice 100 quadcopter for small package delivery. - Thiago A. Rodrigues; Jay Patrikar; Arnav Choudhry; Jacob Feldgoise; Vaibhav Arcot; Aradhana Gahlaut; Sophia Lau; Brady G. Moon; Bastian Wagner; H. Scott Matthews; Sebastian A. Scherer; Constantine Samaras (CoRR, 2021)

Adaptive Safety Margin Estimation for Safe Real-Time Replanning under Time-Varying Disturbance. - Cherie Ho; Jay Patrikar; Rogerio Bonatti; Sebastian A. Scherer (CoRR, 2021)

Drone flight data reveal energy and greenhouse gas emissions savings for small package delivery. - Thiago A. Rodrigues; Jay Patrikar; Natalia L. Oliveira; H. Scott Matthews; Sebastian A. Scherer; Constantine Samaras (CoRR, 2021)

Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace. - Jay Patrikar; Brady G. Moon; Jean Oh; Sebastian A. Scherer (ICRA, 2022)

Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace. - Jay Patrikar; Joao P. A. Dantas; Sourish Ghosh; Parv Kapoor; Ian Higgins; Jasmine Jerry Aloor; Ingrid Navarro; Jimin Sun; Ben Stoler; Milad Moghassem Hamidi; Rohan Baijal; Brady G. Moon; et al. (CoRR, 2022)

Drone flight data reveal energy and greenhouse gas emissions savings for very small package delivery. - Thiago A. Rodrigues; Jay Patrikar; Natalia L. Oliveira; H. Scott Matthews; Sebastian A. Scherer; Constantine Samaras (Patterns, 2022)

Follow The Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains. - Jasmine Jerry Aloor; Jay Patrikar; Parv Kapoor; Jean Oh; Sebastian A. Scherer (ICRA, 2023)

AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking. - Sourish Ghosh; Jay Patrikar; Brady G. Moon; Milad Moghassem Hamidi; Sebastian A. Scherer (ICRA, 2023)

Learned Tree Search for Long-Horizon Social Robot Navigation in Shared Airspace. - Ingrid Navarro; Jay Patrikar; Joao P. A. Dantas; Rohan Baijal; Ian Higgins; Sebastian A. Scherer; Jean Oh (CoRR, 2023)

Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation. - Marcelo Jacinto; João Pinto; Jay Patrikar; John Keller; Rita Cunha; Sebastian A. Scherer; António M. Pascoal (CoRR, 2023)

FoundLoc: Vision-based Onboard Aerial Localization in the Wild. - Yao He; Ivan Cisneros; Nikhil Varma Keetha; Jay Patrikar; Zelin Ye; Ian Higgins; Yaoyu Hu; Parv Kapoor; Sebastian A. Scherer (CoRR, 2023)

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. - Yafei Hu; Quanting Xie; Vidhi Jain; Jonathan Francis; Jay Patrikar; Nikhil Varma Keetha; Seungchan Kim; Yaqi Xie 001; Tianyi Zhang 014; Shibo Zhao; Yu Quan Chong; Chen Wang 033; et al. (CoRR, 2023)

TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations. - Jay Patrikar; Joao P. A. Dantas; Brady G. Moon; Milad Moghassem Hamidi; Sourish Ghosh; Nikhil Varma Keetha; Ian Higgins; Atharva Chandak; Takashi Yoneyama; Sebastian A. Scherer (CoRR, 2024)

RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction. - Jay Patrikar; Sushant Veer; Apoorva Sharma; Marco Pavone 001; Sebastian A. Scherer (CoRR, 2024)

Amelia: A Large Model and Dataset for Airport Surface Movement Forecasting. - Ingrid Navarro; Pablo Ortega-Kral; Jay Patrikar; Haichuan Wang; Zelin Ye; Jong Hoon Park; Jean Oh; Sebastian A. Scherer (CoRR, 2024)

SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation. - Ingrid Navarro; Jay Patrikar; Joao P. A. Dantas; Rohan Baijal; Ian Higgins; Sebastian A. Scherer; Jean Oh (IEEE Robotics Autom. Lett., 2024)

Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid. - Parv Kapoor; Ian Higgins; Nikhil Varma Keetha; Jay Patrikar; Brady G. Moon; Zelin Ye; Yao He; Ivan Cisneros; Yaoyu Hu; Changliu Liu; Eunsuk Kang; Sebastian A. Scherer (CoRR, 2025)