3 papers
cs.RO2025
DBF-MA: A Differential Bayesian Filtering Planner for Multi-Agent Autonomous Racing Overtakes
Trent Weiss, Amar Kulkarni, Madhur Behl
A significant challenge in autonomous racing is to generate overtaking maneuvers. Racing agents must execute these maneuvers on complex racetracks with little room for error. Optim…
cs.RO2025
HALO: Fault-Tolerant Safety Architecture For High-Speed Autonomous Racing
Aron Harder, Amar Kulkarni, Madhur Behl
The field of high-speed autonomous racing has seen significant advances in recent years, with the rise of competitions such as RoboRace and the Indy Autonomous Challenge providing…
cs.LG2024
CRASH: Challenging Reinforcement-Learning Based Adversarial Scenarios For Safety Hardening
Amar Kulkarni, Shangtong Zhang, Madhur Behl
Ensuring the safety of autonomous vehicles (AVs) requires identifying rare but critical failure cases that on-road testing alone cannot discover. High-fidelity simulations provide…