Gliding on Simulated Ice: Effect of Low-μ Emulation on Drift Training. - Hiroshi Yasuda; Michael Thompson; Andrea Michelle Rios Lazcano; Allison Morgan; James Dallas; Jenna Lee; Tiffany L. Chen; John Subosits; Kazunori Nimura (AutomotiveUI, 2024)

Safe Stability Envelopes and Shared Control for Active Vehicle Safety. - James Dallas; Izumi Karino; Michael Thompson; Brandon Araki; Steven Goldine; Yan Ming Jonathan Goh; John Subosits (CCTA, 2024)

An observer robustified control barrier function filter for vehicle control at the limits of handling. - Manavendra Desai; Makoto Suminaka; John Subosits; James Dallas (CCTA, 2024)

One Model to Drift Them All: Physics-Informed Conditional Diffusion Model for Driving at the Limits. - Franck Djeumou; Thomas Lew; Nan Ding; Michael Thompson; Makoto Suminaka; Marcus Greiff; John Subosits (CoRL, 2024)

Drifting with Unknown Tires: Learning Vehicle Models Online with Neural Networks and Model Predictive Control. - Nan Ding; Michael Thompson; James Dallas; Jonathan Y. M. Goh; John Subosits (IV, 2024)

Risk-Averse Model Predictive Control for Racing in Adverse Conditions. - Thomas Lew; Marcus Greiff; Franck Djeumou; Makoto Suminaka; Michael Thompson; John Subosits (CoRR, 2024)

Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies. - Franck Djeumou; Michael Thompson; Makoto Suminaka; John Subosits (CoRR, 2024)

First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling. - Alexander Davydov; Franck Djeumou; Marcus Greiff; Makoto Suminaka; Michael Thompson; John Subosits; Thomas Lew (CoRR, 2024)

Towards an Autonomous Test Driver: High-Performance Driver Modeling via Reinforcement Learning. - John Subosits; Jenna Lee; Shawn Manuel; Paul Tylkin; Avinash Balachandran (CoRR, 2024)

Control Barrier Functions for Shared Control and Vehicle Safety. - James Dallas; John Talbot; Makoto Suminaka; Michael Thompson; Thomas Lew; Gábor Orosz; John Subosits (CoRR, 2025)