Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments. - Shreyas Kousik; Sean Vaskov; Matthew Johnson-Roberson; Ramanarayan Vasudevan (CoRR, 2017)

Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle. - Sean Vaskov; Utkarsh Sharma; Shreyas Kousik; Matthew Johnson-Roberson; Ramanarayan Vasudevan (ACC, 2019)

Not-at-Fault Driving in Traffic: A Reachability-Based Approach. - Sean Vaskov; Hannah Larson; Shreyas Kousik; Matthew Johnson-Roberson; Ram Vasudevan (ITSC, 2019)

Towards Provably Not-At-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments. - Sean Vaskov; Shreyas Kousik; Hannah Larson; Fan Bu; James Robert Ward; Stewart Worrall 002; Matthew Johnson-Roberson; Ram Vasudevan (Robotics: Science and Systems, 2019)

Bridging the gap between safety and real-time performance in receding-horizon trajectory design for mobile robots. - Shreyas Kousik; Sean Vaskov; Fan Bu; Matthew Johnson-Roberson; Ram Vasudevan (Int. J. Robotics Res., 2020)

Joint Tire-Stiffness and Vehicle-Inertial Parameter Estimation for Improved Predictive Control. - Karl Berntorp; Rien Quirynen; Sean Vaskov (ACC, 2021)

Cornering Stiffness Adaptive, Stochastic Nonlinear Model Predictive Control for Vehicles. - Sean Vaskov; Karl Berntorp; Rien Quirynen (ACC, 2021)

Friction-Adaptive Stochastic Predictive Control for Trajectory Tracking of Autonomous Vehicles. - Sean Vaskov; Rien Quirynen; Marcel Menner; Karl Berntorp (ACC, 2022)

Friction-Adaptive Stochastic Nonlinear Model Predictive Control for Autonomous Vehicles. - Sean Vaskov; Rien Quirynen; Marcel Menner; Karl Berntorp (CoRR, 2023)

Do no harm: A counterfactual approach to safe reinforcement learning. - Sean Vaskov; Wilko Schwarting; Chris L. Baker (L4DC, 2024)