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Jay Patrikar
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Journal Articles
- 2024
- [j2]Ingrid Navarro, Jay Patrikar, Joao P. A. Dantas, Rohan Baijal, Ian Higgins, Sebastian A. Scherer, Jean Oh:
SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation. IEEE Robotics Autom. Lett. 9(4): 3759-3766 (2024) - 2022
- [j1]Thiago A. Rodrigues, Jay Patrikar, Natalia L. Oliveira, H. Scott Matthews, Sebastian A. Scherer, Constantine Samaras:
Drone flight data reveal energy and greenhouse gas emissions savings for very small package delivery. Patterns 3(8): 100569 (2022)
Conference and Workshop Papers
- 2023
- [c7]Sourish Ghosh, Jay Patrikar, Brady G. Moon, Milad Moghassem Hamidi, Sebastian A. Scherer:
AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking. ICRA 2023: 1277-1283 - [c6]Jasmine Jerry Aloor, Jay Patrikar, Parv Kapoor, Jean Oh, Sebastian A. Scherer:
Follow The Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains. ICRA 2023: 1320-1326 - 2022
- [c5]Jay Patrikar, Brady G. Moon, Jean Oh, Sebastian A. Scherer:
Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace. ICRA 2022: 2525-2531 - 2021
- [c4]Arnav Choudhry, Brady G. Moon, Jay Patrikar, Constantine Samaras, Sebastian A. Scherer:
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model. ICRA 2021: 262-268 - 2020
- [c3]Jay Patrikar, Brady G. Moon, Sebastian A. Scherer:
Wind and the City: Utilizing UAV-Based In-Situ Measurements for Estimating Urban Wind Fields. IROS 2020: 1254-1260 - 2018
- [c2]Vijay Shankar Dwivedi, Jay Patrikar, Amulya Addamane, A. K. Ghosh:
MARAAL: A Low Altitude Long Endurance Solar Powered UAV For Surveillance and Mapping Applications. MMAR 2018: 449-454 - [c1]Harsh Sinha, Jay Patrikar, Eeshan Gunesh Dhekane, Gaurav Pandey, Mangal Kothari:
Convolutional Neural Network Based Sensors for Mobile Robot Relocalization. MMAR 2018: 774-779
Informal and Other Publications
- 2024
- [i16]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:
TartanAviation: Image, Speech, and ADS-B Trajectory Datasets for Terminal Airspace Operations. CoRR abs/2403.03372 (2024) - [i15]Jay Patrikar, Sushant Veer, Apoorva Sharma, Marco Pavone, Sebastian A. Scherer:
RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction. CoRR abs/2405.11139 (2024) - [i14]Ingrid Navarro, Pablo Ortega-Kral, Jay Patrikar, Haichuan Wang, Zelin Ye, Jong Hoon Park, Jean Oh, Sebastian A. Scherer:
Amelia: A Large Model and Dataset for Airport Surface Movement Forecasting. CoRR abs/2407.21185 (2024) - 2023
- [i13]Ingrid Navarro, Jay Patrikar, Joao P. A. Dantas, Rohan Baijal, Ian Higgins, Sebastian A. Scherer, Jean Oh:
Learned Tree Search for Long-Horizon Social Robot Navigation in Shared Airspace. CoRR abs/2304.01428 (2023) - [i12]Marcelo Jacinto, João Pinto, Jay Patrikar, John Keller, Rita Cunha, Sebastian A. Scherer, António M. Pascoal:
Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation. CoRR abs/2307.05263 (2023) - [i11]Ingrid Navarro, Jay Patrikar, Joao P. A. Dantas, Rohan Baijal, Ian Higgins, Sebastian A. Scherer, Jean Oh:
SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation. CoRR abs/2309.13144 (2023) - [i10]Yao He, Ivan Cisneros, Nikhil Varma Keetha, Jay Patrikar, Zelin Ye, Ian Higgins, Yaoyu Hu, Parv Kapoor, Sebastian A. Scherer:
FoundLoc: Vision-based Onboard Aerial Localization in the Wild. CoRR abs/2310.16299 (2023) - [i9]Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Varma Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia P. Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian A. Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk:
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. CoRR abs/2312.08782 (2023) - 2022
- [i8]Sourish Ghosh, Jay Patrikar, Brady G. Moon, Milad Moghassem Hamidi, Sebastian A. Scherer:
AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking. CoRR abs/2209.12849 (2022) - [i7]Jasmine Jerry Aloor, Jay Patrikar, Parv Kapoor, Jean Oh, Sebastian A. Scherer:
Follow The Rules: Online Signal Temporal Logic Tree Search for Guided Imitation Learning in Stochastic Domains. CoRR abs/2209.13737 (2022) - [i6]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, Jean Oh, Sebastian A. Scherer:
Challenges in Close-Proximity Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace. CoRR abs/2211.06932 (2022) - 2021
- [i5]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:
In-flight positional and energy use data set of a DJI Matrice 100 quadcopter for small package delivery. CoRR abs/2103.13313 (2021) - [i4]Arnav Choudhry, Brady G. Moon, Jay Patrikar, Constantine Samaras, Sebastian A. Scherer:
CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model. CoRR abs/2105.15189 (2021) - [i3]Jay Patrikar, Brady G. Moon, Jean Oh, Sebastian A. Scherer:
Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace. CoRR abs/2109.15158 (2021) - [i2]Cherie Ho, Jay Patrikar, Rogerio Bonatti, Sebastian A. Scherer:
Adaptive Safety Margin Estimation for Safe Real-Time Replanning under Time-Varying Disturbance. CoRR abs/2110.03119 (2021) - [i1]Thiago A. Rodrigues, Jay Patrikar, Natalia L. Oliveira, H. Scott Matthews, Sebastian A. Scherer, Constantine Samaras:
Drone flight data reveal energy and greenhouse gas emissions savings for small package delivery. CoRR abs/2111.11463 (2021)
Coauthor Index
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