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

17 Apr 2025

Rayan Mazouz successfully passed his comprehensive exam (thesis prospectus). Congrats Rayan!

13 Apr 2025

Sebastian Escobar successfully defended his MS thesis on "Expressive and Interpretable Robot Task Planning with Conditional Timed Partial Orders". Congrats, Sebastian!

26 Feb 2026

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

29 Jan 2026

Our work on "Data-Driven Control via Conditional Mean Embeddings: Formal Guarantees via Uncertain MDP Abstraction" has been accepted for presentation at the Conference on Hybrid Systems: Computation and Control (HSCC), 2026. 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!