A Visibility-Based Escort Problem. - Lance G. Fletcher; Priyankari Perali; Andrew Beathard; Jason M. O'Kane (IROS, 2023)

Three Challenges in Utilizing Machine Learning to Predict Human Behavior from Observational Data. - Thomas Manzini; Priyankari Perali; Robin R. Murphy (HRI (Companion), 2024)

Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters. - Thomas Manzini; Priyankari Perali; Raisa Karnik; Mihir Godbole; Hasnat Abdullah; Robin R. Murphy (CoRR, 2024)

CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery. - Thomas Manzini; Priyankari Perali; Raisa Karnik; Robin R. Murphy (CoRR, 2024)

Now you see it, Now you don't: Damage Label Agreement in Drone & Satellite Post-Disaster Imagery. - Thomas Manzini; Priyankari Perali; Jayesh Tripathi; Robin R. Murphy (FAccT, 2025)

Challenges and Research Directions from the Operational Use of a Machine Learning Damage Assessment System via Small Uncrewed Aerial Systems at Hurricanes Debby and Helene. - Thomas Manzini; Priyankari Perali; Robin R. Murphy; David F. Merrick (CoRR, 2025)