John Subosits

Toyota Research Institute

Engineering · Physical Sciences

8h-index316citations35works1.02yr avg
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Research Topics

Vehicle Dynamics and Control Systems(16), Autonomous Vehicle Technology and Safety(11), Real-time simulation and control systems(7), Reinforcement Learning in Robotics(6), Advanced Control Systems Optimization(6)

Publications35 total

Dynamic Association of Semantics and Parameter Estimates by Filtering
arXiv (Cornell University)·2026Open Access
Vision-Conditioned Variational Bayesian Last Layer Dynamics Models
arXiv (Cornell University)·2026Open Access
Dynamic Association of Semantics and Parameter Estimates by Filtering
ArXiv.org·2026Open Access
Vision-Conditioned Variational Bayesian Last Layer Dynamics Models
ArXiv.org·2026Open Access
Safe Lane-Keeping With Control Barrier Functions: From Theory to Practical Implementation
IEEE Transactions on Control Systems Technology·2026
Solving Quadratic Programs with Slack Variables via ADMM without Increasing the Problem Size
arXiv (Cornell University)·2025Open Access
Differentiable Model Predictive Control on the GPU
arXiv (Cornell University)·2025Open Access
Spatial Envelope MPC: High Performance Driving without a Reference
arXiv (Cornell University)·2025Open Access
Semantic Property Maps for Driving Applications
2025
First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling
IEEE Robotics and Automation Letters·2025
Control Barrier Functions for Shared Control and Vehicle Safety
2025· 1 cited
Out of Sequence Variational Filtering with Forward Tracklets
2025
Adaptable High-Speed Model Predictive Control for Autonomous Drifting: Koopman-Based Dynamics
2025
Lane Keeping Using Lyapunov Function-Based Reference Governor: An Optimization-Free Approach
2025
Task Decomposition for Learning Advanced Driving Skills
2025
Adaptive Model Predictive Control on Unknown Deformable Terrains Using Physics-Informed Learning Tire Models
2025
Lane-Keeping Guardian with Safety Filter: Experimental Validation
2025
Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies
2025· 2 cited
Risk-Averse Model Predictive Control for Racing in Adverse Conditions
2025· 1 cited
Control Barrier Functions for Shared Control and Vehicle Safety
arXiv (Cornell University)·2025· 1 citedOpen Access
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Frequent Co-authors

Michael Thompson(13), James Dallas(13), Makoto Suminaka(13), Thomas Lew(13), Marcus Greiff(12), J. Christian Gerdes(7), Franck Djeumou(6), John M. Talbot(5), Ray Zirui Zhang(5), Gábor Orosz(4), Hiroshi Yasuda(3), Xiao Li(3), Illés Vörös(3), Nitin R. Kapania(2), Allison Morgan(2), Jenna Lee(2), Paul Brunzema(2), Takeru Shirasawa(2), Ilya Kolmanovsky(2), Nathan A. Spielberg(1)