Jay Patrikar

Orcid: 0000-0002-3668-8295

According to our database1, Jay Patrikar authored at least 20 papers between 2018 and 2024.

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Bibliography

2024
SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation.
IEEE Robotics Autom. Lett., 2024

Amelia: A Large Model and Dataset for Airport Surface Movement Forecasting.
CoRR, 2024

RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction.
CoRR, 2024

TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations.
CoRR, 2024

2023
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis.
CoRR, 2023

FoundLoc: Vision-based Onboard Aerial Localization in the Wild.
CoRR, 2023

Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation.
CoRR, 2023

Learned Tree Search for Long-Horizon Social Robot Navigation in Shared Airspace.
CoRR, 2023

AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Follow The Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Drone flight data reveal energy and greenhouse gas emissions savings for very small package delivery.
Patterns, 2022

Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace.
CoRR, 2022

Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Drone flight data reveal energy and greenhouse gas emissions savings for small package delivery.
CoRR, 2021

Adaptive Safety Margin Estimation for Safe Real-Time Replanning under Time-Varying Disturbance.
CoRR, 2021

In-flight positional and energy use data set of a DJI Matrice 100 quadcopter for small package delivery.
CoRR, 2021

CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Wind and the City: Utilizing UAV-Based In-Situ Measurements for Estimating Urban Wind Fields.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2018
Convolutional Neural Network Based Sensors for Mobile Robot Relocalization.
Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018

MARAAL: A Low Altitude Long Endurance Solar Powered UAV For Surveillance and Mapping Applications.
Proceedings of the 23rd International Conference on Methods & Models in Automation & Robotics, 2018


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