An outstanding challenge with safety methods for human-robot interaction is reducing their
conservatism while maintaining robustness to variations in human behavior. In this work, we …

In human–robot collaborative assembly, leveraging multimodal commands for intuitive robot
control remains a challenge from command translation to efficient collaborative operations …

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 …

While there has been an increasing focus on the use of game theoretic models for
autonomous driving, empirical evidence shows that there are still open questions around …

A particular challenge for both autonomous and human driving is dealing with risk
associated with dynamic occlusion, ie, occlusion caused by other vehicles in traffic. Based …

From autonomous cars to systems operating in people's homes, robots must interact with
humans. What makes this hard is that human behavior--especially when interacting with …

In recent years, there has been enormous public interest in autonomous vehicles (AV), with
more than 80 billion dollars invested in self-driving car technology. However, for the …