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Towards Provably Not-At-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments., , , , , , , and . Robotics: Science and Systems, (2019)Friction-Adaptive Stochastic Predictive Control for Trajectory Tracking of Autonomous Vehicles., , , and . ACC, page 1970-1975. IEEE, (2022)Joint Tire-Stiffness and Vehicle-Inertial Parameter Estimation for Improved Predictive Control., , and . ACC, page 186-191. IEEE, (2021)Friction-Adaptive Stochastic Nonlinear Model Predictive Control for Autonomous Vehicles., , , and . CoRR, (2023)Guaranteed Safe Reachability-based Trajectory Design for a High-Fidelity Model of an Autonomous Passenger Vehicle., , , , and . ACC, page 705-710. IEEE, (2019)Cornering Stiffness Adaptive, Stochastic Nonlinear Model Predictive Control for Vehicles., , and . ACC, page 154-159. IEEE, (2021)Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots., , , , and . CoRR, (2018)Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments., , , and . CoRR, (2017)Bridging the gap between safety and real-time performance in receding-horizon trajectory design for mobile robots., , , , and . Int. J. Robotics Res., (2020)Not-at-Fault Driving in Traffic: A Reachability-Based Approach., , , , and . ITSC, page 2785-2790. IEEE, (2019)