Adapting driving behavior to new environments customs and laws is a long-standing
problem in autonomous driving precluding the widespread deployment of autonomous …

Trajectory prediction modules are key enablers for safe and efficient planning of
autonomous vehicles (AVs), particularly in highly interactive traffic scenarios. Recently …

We build on our recent work on formalization of responsibility-sensitive safety (RSS) and
present the first formal framework that enables mathematical proofs of the safety of control …

Modern neural trajectory predictors in autonomous driving are developed using imitation
learning (IL) from driving logs. Although IL benefits from its ability to glean nuanced and …

Autonomous vehicles are subject to various constraints, such as following the rules of the
road (ROTR), adhering to schedules, or providing a comfortable driving experience …

This paper addresses the multi-faceted problem of robot grasping, where multiple criteria
may conflict and differ in importance. We introduce Grasp Ranking and Criteria Evaluation …