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Fall 2019

Lim, Sungsu

Q-learning can be difficult to use in continuous action spaces, because a difficult optimization has to be solved to find the maximal action. Some common strategies have been to discretize the action space, solve the maximization with a powerful optimizer at each step, restrict the functional...

Spring 2021

Sherstan, Mark James

There is a growing trend of using unmanned aerial vehicles (also known as UAVs, uncrewed aerial vehicles, or drones) to manipulate and interact with their surroundings. The algorithms and tools used are typically unique to the different tasks performed by UAVs; however, the fundamental UAV system...

Spring 2023

Al-Younes, Younes M. A.

Navigating robotic systems autonomously through unknown, dynamic, and GPS-denied environments is a challenging task. One requirement of this is a path planner which provides safe trajectories under real-world conditions such as nonlinear vehicle dynamics, real-time computation requirements,...

Fall 2018

Serrano, David

The expanding field of unmanned aerial vehicles (UAV) has introduced a variety of flight operating conditions and thus, performance requirements. As a method to improve performance in the propulsion systems of UAVs, two topics of interest are emphasized in this thesis: the potential improvements...