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
To earn an MS in the Autonomous Systems focus area, you must successfully complete one course each from three of five topic areas. See the Graduate Handbook for a complete list of requirements.
Satisfaction of the AUT MS course requirements above plus two additional courses from any of the topic areas.
Satisfaction of the AUT Specific MS Requirements.
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