Jul 24, 2024 | Our paper titled “Learning to Provably Satisfy High Relative Degree Constraints for Black-Box Systems” got accepted at the 2024 Conference on Decision and Control (CDC)! |
Jul 01, 2024 | Our paper titled “Optimal Robotic Assembly Sequence Planning: A Sequential Decision-Making Approach” has been accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024! |
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! |
Apr 04, 2024 | One of our students, Kartik Nagpal, was awarded the National Science Foundation Graduate Research Fellowship (NSF GRFP)! |
Mar 28, 2024 | Our paper titled “ Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios” got accepted at the Learning for Dynamics & Control Conference (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. |