About ARIA Systems Group

We are a group of robot enthusiasts in the Departments of Aerospace Engineering Sciences and Computer Science at the University of Colorado Boulder set on developing Assured, Reliable, and Interactive Autonomous (ARIA) systems. We envision a world where autonomous systems operate safely and effectively alongside humans and form trusting partnerships to improve the well-being of individuals and societies. This vision drives our research in developing theoretical foundations and computational frameworks that enable reliable and intelligent autonomy. We view this as an art, a creative process that requires deep technical understandings of the fields that contribute to robotics.

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 builds on knowledge developed in control theory, formal methods, statistical reasoning, machine learning & AI and seeks to address real-world challenges in robotics and safety-critical systems.

Group News

29 Apr 2025

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

20 Apr 2025

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 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!

03 Apr 2025

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

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!