ARIA Systems group develops novel theoretical foundations and computational frameworks to enable reliable and intelligent autonomy. The main theme of our work is safety and soundness, and the emphasis is on safe autonomy through correct-by-construction algorithmic approaches. Our research within the Department of Aerospace Engineering Sciences at the University of Colorado Boulder builds on knowledge developed in control theory, formal methods, statistical reasoning, machine learning & AI to address real-world challenges in robotics and safety-critical systems.

Group News

11 Nov 2026

Our work on "Physics-informed Learning for Orbital Uncertainty Propagation with Error Bounds" has been accepted for publication in the Journal of Guidance, Control, and Dynamics. Read the preprint here!

07 Nov 2026

Chun-Wei Kong successfully passed his comprehensive exam (thesis prospectus). Congrats Chun-Wei!

22 Oct 2026

Rayan Mazouz successfully defended his PhD dissertation. Congrats Dr. Mazouz!

21 Aug 2026

We are happy to welcome two new members, Georgina Riu Puche and Emily Newman, to our group. We’re excited to have you both on board, welcome!

18 Aug 2026

Robert Reed successfully defended his PhD dissertation. Congrats Dr. Reed!

15 Jul 2026

Our work on "On the Optimality of Uncertain MDP Abstractions" has been accepted for presentation at the 65th IEEE Conference on Decision and Control (CDC). Read the preprint here!

15 Jul 2026

Our work on "Certified Stochastic Control via Covariance Steering with Pick-to-Learn" has been accepted for presentation at the 65th IEEE Conference on Decision and Control (CDC). Read the preprint here!