Lab
a
a
a
a
a
a
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.
news
| Mar 10, 2023 | Our paper titled “RAPID: Autonomous Multi-agent Racing using Constrained Potential Dynamic Games” got accepted at the European Control Conference (ECC) 2023! |
|---|---|
| Jan 16, 2023 | Our paper titled “Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions” got accepted at the International Conference on Robotics and Automation (ICRA) 2023! |
| Jan 16, 2023 | Our paper titled “ Learning to Influence Vehicles’ Routing in Mixed-Autonomy Networks by Dynamically Controlling the Headway of Autonomous Cars” got accepted at the International Conference on Robotics and Automation (ICRA) 2023! |
| 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! |