Makoto Suminaka

According to our database, Makoto Suminaka authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Control Barrier Functions for Shared Control and Vehicle Safety.

James Dallas, John Talbot, Makoto Suminaka, Michael Thompson, Thomas Lew, Gábor Orosz, John Subosits

CoRR, March, 2025

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

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

Risk-Averse Model Predictive Control for Racing in Adverse Conditions.

Thomas Lew, Marcus Greiff, Franck Djeumou, Makoto Suminaka, Michael Thompson, John Subosits

CoRR, 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

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

An observer robustified control barrier function filter for vehicle control at the limits of handling.

Manavendra Desai, Makoto Suminaka, John Subosits, James Dallas

Proceedings of the IEEE Conference on Control Technology and Applications, 2024