Urban driving is a challenging task that requires autonomous agents to account for the
stochastic dynamics and interactions with other vehicles. In this paper, we propose a novel …

Scenarios are a crucial element for develo**, testing, and verifying autonomous driving
systems. However, open-source scenarios are often formulated using different …

Modern robotics often involves multiple embodied agents operating within a shared
environment. Path planning in these cases is considerably more challenging than in single …

We propose a tactical homotopy-aware decision-making framework for game-theoretic
motion planning in urban environments. We model urban driving as a generalized Nash …

Navigating narrow roads with oncoming vehicles is a significant challenge that has garnered
considerable public interest. These scenarios often involve sections that cannot …

As autonomous technologies burgeon and integrate into our complex, multifaceted world,
the necessity for a systematic and rational methodology for interactions among agents …