Aerospace Autonomy

Catalog description

Aerospace autonomy is the blending of aerospace engineering and computer science - an interdisciplinary topic that will boost the students' skills in both domains. From advanced decision-making algorithms to sensing and state estimation to advances in machine learning applications, aerospace autonomy covers a lot of territory. This course will discuss some of the techniques and challenges so that the vehicle can fly itself while maintaining awareness of sensors, safety, and software. Students will learn and apply the key principles and theories in sensing, dynamic modeling, state estimation, path planning, control, and machine learning through homework and coding assignments.