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

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!

28 Mar 2024

Our work on "Data-Driven Strategy Synthesis for Stochastic Systems with Unknown Nonlinear Disturbances" has been accepted for presentation in Learning for Dynamics and Control Conference (L4DC).

25 Mar 2024

Our work on "Introducing Delays in Multi-Agent Path Finding" has been accepted for presentation in Int. Symposium on Combinatorial Search (SoCS). Read the preprint here!

14 Mar 2024

Our work on "IntervalMDP.jl: Accelerated Value Iteration for Interval Markov Decision Processes" has been accepted for presentation in IFAC Conference on Analysis and Design of Hybrid Systems (ADHS). Read the preprint here!