Recent years have seen significant progress in the realm of robot autonomy, accompanied
by the expanding reach of robotic technologies. However, the emergence of new …

In modern autonomy stacks, prediction modules are paramount to planning motions in the
presence of other mobile agents. However, failures in prediction modules can mislead the …

The ability to accurately predict others' behavior is central to the safety and efficiency of
robotic systems in interactive settings, such as human–robot interaction and multi-robot …

The ability to accurately predict human behavior is central to the safety and efficiency of
robot autonomy in interactive settings. Unfortunately, robots often lack access to key …

Robots such as autonomous vehicles and assistive manipulators are increasingly operating
in dynamic environ-ments and close physical proximity to people. In such scenarios, the …

Safety and performance are key enablers for autonomous driving: on the one hand we want
our autonomous vehicles (AVs) to be safe, while at the same time their performance (eg …

Safety as a fundamental requirement for human-swarm interaction has attracted a lot of
attention in recent years. Most existing approaches solve a constrained optimization …

We present a multi-agent decision-making framework for the emergent coordination of
autonomous agents whose intents are initially undecided. Dynamic non-cooperative games …

Game theoretic methods have become popular for planning and prediction in situations
involving rich multi-agent interactions. However, these methods often assume the existence …

As intelligent robots like autonomous vehicles become increasingly deployed in the
presence of people, the extent to which these systems should leverage model-based game …