Autonomous Systems (AUT) interact with human partners for extended periods of time, sometimes at remote distances and promise improved safety, reliability, efficiency, adaptability, resiliency, usability, affordability, and previously unattainable capabilities. Activities in the Autonomous Systems Focus Area draw from a variety of disciplines including robotics, human-robot interaction, artificial intelligence, unmanned systems, formal methods, and estimation and control theory.
Autonomous Systems Faculty
Elective Courses offered by Focus Area:
ASEN 5519 Multi-Object Filtering Theory
ASEN 6519 Cooperative Control of Multi-Vehicle Systems
ASEN 6519 Model-Based Parameter & State Estimation
ASEN 6519 Hybrid Control Systems
Example Elective Courses offered outside Focus Area:
CS Machine Learning
ECEE Multi-agent Control
CS Convex Optimization
ECEE Sampled Data Systems
CS Computer Vision
ME Robust, Multivariable Control