news

May 15, 2024 Our paper titled POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints got accepted at the Robotics: Science and Systems (RSS) 2024!
Mar 28, 2024 Our paper titled “Adaptive Learning from Demonstration in Heterogeneous Agents: Concurrent Minimization and Maximization of Surprise in Sparse Reward Environments” got accepted at the Learning for Dynamics & Control (L4DC) 2024!
Jan 29, 2024 Our paper titled Integrating Predictive Motion Uncertainties with Distributionally Robust Risk-Aware Control for Safe Robot Navigation in Crowds got accepted at the International Conference on Robotics and Automation (ICRA) 2024!
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 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!
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!
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!
Jan 31, 2022 Our paper titled Stackelberg Routing of Autonomous Cars in Mixed-Autonomy Traffic Networks got accepted at the American Control Conference (ACC) 2022!
Jan 31, 2022 We will organize a workshop on Learning and Control for Safety-Critical Systems at American Control Conference (ACC) 2022!
Jan 03, 2022 Our paper titled Learning Contraction Policies from Offline Data got accepted at the IEEE Robotics and Automation Letters (RA-L)!
Dec 13, 2021 Our paper titled Learning Contraction Policies from Offline Data was selected as the best paper award finalist at NeurIPS 2021 workshop Safe and Robust Control of Uncertain Systems!
Oct 21, 2021 Our paper titled Learning Contraction Policies from Offline Data was accepted as an Oral at NeurIPS 2021 workshop Safe and Robust Control of Uncertain Systems!
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.