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

07 Dec 2024

ARIA will have a presence at CDC’24 in Dec. 24 with 2 papers. Seek us out!

26 Oct 2024

Our work on "Efficient strategy synthesis for switched stochastic systems with distributional uncertainty" has been accepted for publication in the Journal of Nonlinear Analysis: Hybrid Systems (NAHS). Read the preprint here!

26 Jun 2024

Justin successfully defended his PhD thesis. Congrats, Dr. Kottinger!

30 May 2024

John successfully defended his PhD thesis. Congrats, Dr. Skovbekk!

26 Apr 2024

Our work on "Sound and Efficient Algorithms for POMDPs with Reachability Objectives via Heuristic Search" has been accepted for presentation in the conference on Uncertainty in Artificial Intelligence (UAI). The preprint will be available soon!

26 Apr 2024

Our work on "Recursively-Constrained Partially Observable Markov Decision Processes" has been accepted for presentation in the conference on Uncertainty in Artificial Intelligence (UAI). Read the preprint here!

02 Apr 2024

Kandai successfully defended his PhD thesis. Congrats, Dr. Watanabe!