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

23 Jun 2026

Our work on "StochasticBarrier.jl: A Toolbox for Stochastic Barrier Function Synthesis" has been accepted for publication in International Joint Conference on Quantitative Evaluation of Systems and Formal Modeling and Analysis of Timed System (QEST + FORMATS). Read the preprint here!

30 Apr 2026

Our work on "Training with Hard Constraints: Learning Neural Certificates and Controllers for SDEs" has been accepted for publication in Int. Conf. on Neuro-Symbolic Systems (NeuS). Read the preprint here!

29 Apr 2026

Karan Muvvala successfully passed his comprehensive exam (thesis prospectus). Congrats Karan!

20 Apr 2026

Our work on "Falsification of Autonomous Systems in Rich Environments" has been accepted for publication in ACM Transactions on Cyber-Physical Systems. Read the preprint here!

17 Apr 2026

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

13 Apr 2026

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

03 Apr 2026

Peter Amorese is the recipient of the 2025-2026 AES Outstanding Research Graduate Award. Congrats, Peter! Well deserved!