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

26 Feb 2026

Our work on "Piecewise Stochastic Barrier Functions" has been accepted for publication in Automatica. Read the preprint here!

14 Jan 2026

The American Society of Mechanical Engineers (ASME) has posted an article about our recent work in making human-robot interactions safer. Read the article here!

03 Dec 2025

Robert Reed successfully passed his comprehensive exam (thesis prospectus). Congrats Robert!

07 Nov 2025

Our work on "Universal Learning of Stochastic Dynamics for Exact Belief Propagation using Bernstein Normalizing Flows" has been accepted for presentation at the AAAI Conference on Artificial Intelligence (AAAI) 2026. Read the preprint here!

26 Sep 2025

Qi Heng successfully defended his PhD dissertation. Congrats Qi Heng!

25 Aug 2025

Our research on safe and efficient decision making for robots around humans has been featured in CU News. Read the article here!

15 Jul 2025

Our work on "Beyond winning strategies: Admissible and admissible winning strategies for quantitative reachability games" has been accepted for presentation the Int. Joint Conference on AI (IJCAI) 2025. Read the preprint here!