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 the five topic areas below:
- ASEN 5014 Linear Control Systems
- ASEN 5024 Nonlinear Systems
Estimation and Sensor Fusion
- ASEN 5044 Statistical Estimation for Dynamical Systems
Dynamics and Modelling of Vehicles
- ASEN 5519 System Identification
- ASEN 5519 Small UAS Dynamics and Control
- ASEN 5519 Autonomy for Aerospace Systems
- ASEN 5519 Algorithmic Motion Planning
Programming for Embedded Systems
- ASEN 5519 Microavionics
- MCEN 5115 Mechatronics and Robotics
- ECEN 5613 Embedded System Design
- ECEN 5813 Principles of Embedded Software
- CSCI 5302 Advanced Robotics
Note: For the purposes of the AES Preliminary Exam and other AES department policies, any course listed above is considered in the AUT Focus Area and cannot be used to satisfy an out of Focus Area requirement.
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