We lead controls research, the design of algorithms and techniques to enable systems to independently perceive, reason, and act within their environment.
We offer courses in the guidance, navigation, and control of unmanned aerial systems as well as the optimization and control of networked systems. We are leaders in research in control of autonomous systems, bio-inspired engineering, model predictive control, dynamical modeling, and estimation for single and distributed systems. We develop tools that address the temporal, spatial and nonlinear challenges posed by autonomy.
A&A undergrad and graduate students have the opportunity to explore practical applications for autonomy by gaining hands-on flight-testing and field operations experience with interdisciplinary collaborators and partners.
Key research areas
- Automatic control
- Autonomous vehicle control
- Control theory
- Dynamics and optimization
- Flight operations
- Underwater vehicle design
- Unmanned aerial systems
Associated faculty
Research highlights
A successful Mars rover landing ends with a crash
A&A’s Behcet Açıkmeşe helped develop hurling algorithms to land NASA's rovers Curiosity and Perseverance.
A&A's Research Takes Flight
A&A research will get the rare opportunity to fly in real flight conditions on the 2021 Boeing ecoDemonstrator.
Hide and Seek
The Autonomous Flight Systems Lab builds a drone-based machine learning dataset to find those lost in the wilderness.
Award-winning student team
