The UIUC Intelligent Control (ICON) lab develops algorithms for autonomous systems to interact with other agents safely and intelligently. Our goal is to enable autonomous systems to become integrated into the fabric of human life and act in the favor of society. To this end, we draw from control theory, game theory, robotics, and machine learning. We are part of the UIUC Coordinated Science Laboratory and UIUC Center for Autonomy.


May 10, 2021 Our paper titled “Potential iLQR: A Potential Minimizing Controller for Panning Multi-Agent Interactive Trajectories” was accepted at RSS 2021!
Apr 13, 2021 We will organize a workshop on “Perception and Control for Autonomous Navigation in Crowded, Dynamic Environments” at RSS 2021.
Dec 13, 2020 Our paper titled “RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch” got accepted at the IEEE Robotics and Automation Letters (RA-L).
Nov 10, 2020 Our paper titled “A Game Theoretic Macroscopic Model of Lane Choices at Traffic Diverges with Applications to Mixed-Autonomy Networks” got accepted at the Transportation Research Part B journal.