No human drives a car in a vacuum; she/he must negotiate with other road users to achieve
their goals in social traffic scenes. A rational human driver can interact with other road users …

One critical bottleneck that impedes the development and deployment of autonomous
vehicles is the prohibitively high economic and time costs required to validate their safety in …

Challenges related to automated driving are no longer focused on just the construction of
such automated vehicles (AVs) but also on assuring the safety of operation. Recent …

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 …

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 …

Artificial intelligence (AI) is interacting with people at an unprecedented scale, offering new
avenues for immense positive impact, but also raising widespread concerns around the …

Self-driving vehicles (SDVs) are becoming reality but still suffer from “long-tail” challenges
during natural driving: the SDVs will continually encounter rare, safety-critical cases that may …

Vision-and-language navigation (VLN) asks an agent to follow a given language instruction
to navigate through a real 3D environment. Despite significant advances, conventional VLN …

Recently significant progress has been made in vehicle prediction and planning algorithms
for autonomous driving. However, it remains quite challenging for an autonomous vehicle to …

Mobile autonomy relies on the precise perception of dynamic environments. Robustly
tracking moving objects in 3D world thus plays a pivotal role for applications like trajectory …