Research

Past Research

Autonomous Mission Execution for Teams of Reconnaissance UAVs | 2021 - 2025

AirLab | Carnegie Mellon University

Developing autonomy algorithms to search for and track targets at sea
Testing on fixed-wing platforms with the Office of Naval Research

Safe and Seamless Operation of Manned and Unmanned Aircraft in Shared Airspace | 2020 - 2023

AirLab | Carnegie Mellon University

Long-range aircraft detection and tracking strategies using a monocular camera
Constructing real-world dataset spanning many months of small aircraft at airports
Predicting future trajectories of aircraft using Graph Attention Networks

Estimating Urban Wind Fields Using UAV-Based Measurements | 2020

AirLab | Carnegie Mellon University

Through real-world experiments we proved our method accurately estimates wind inlet conditions using the wind measurements from a flying UAV.

Goods Delivery Energy Productivity | 2019 - 2022

AirLab | Carnegie Mellon University

Evaluating the impact of autonomous robots on the energy productivity of package delivery
Energy-based flight risk assessment for multirotor UAVs
Learning and validating energy models for autonomous robots
Learning motion primitives for a UAV to fly in windy urban environments

UAV Gesture Commands | 2018-19

MAGICC Lab | Brigham Young University

Designed and trained a model to classify ten gestures with an accuracy of 95% using accelerometer and gyroscope measurements.
Designed and tested intuitive gestures and behaviors for natural directing of a fleet of UAVs

SN Applied Sciences 2021

Multi-Mission Project | 2017-19

MAGICC Lab | Brigham Young University

Developed a search algorithm for cooperating UAVs which maximizes area knowledge and the number of tracked targets using Gaussian process regressions
Implemented a Gaussian Mixture Model Kalman filter for more accurate target tracking with heterogeneous sensors