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.


Nov 24, 2022 Our paper titled Maximum-Entropy Multi-Agent Dynamic Games: Forward and Inverse Solutions got accepted at the IEEE Transactions on Robotics (T-RO)!
Aug 15, 2022 We will organize a workshop on Strategic Multi-Agent Interactions: Game Theory for Robot Learning and Decision Making” at the Conference on Robot Learning (CoRL) 2022!
Apr 22, 2022 We will organize a workshop on Behavior-driven Autonomous Driving in Unstructured Environments at the International Conference on Intelligent Robots and Systems (IROS) 2022!
Feb 28, 2022 Our paper titled Congestion-aware Bi-modal Delivery Systems Utilizing Drones got accepted at the European Control Conference (ECC) 2022!
Jan 31, 2022 Our paper titled Learning Contraction Policies from Offline Data got accepted at the International Conference on Robotics and Automation (ICRA) 2022!