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.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…
cs.RO2024
ARGOS: An Automaton Referencing Guided Overtake System for Head-to-Head Autonomous Racing
Varundev Sukhil, Madhur Behl
Autonomous overtaking at high speeds is a challenging multi-agent robotics research problem. The high-speed and close proximity situations that arise in multi-agent autonomous raci…