With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

For robotic vehicles to navigate safely and efficiently in pedestrian-rich environments, it is
important to model subtle human behaviors and navigation rules (eg, passing on the right) …

Mobility in an effective and socially-compliant manner is an essential yet challenging task for
robots operating in crowded spaces. Recent works have shown the power of deep …

We introduce a method for generating realistic pedestrian trajectories and full-body
animations that can be controlled to meet user-defined goals. We draw on recent advances …

Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

In this paper, we present a formal approach to reciprocal n-body collision avoidance, where
multiple mobile robots need to avoid collisions with each other while moving in a common …

Since the past few decades, human trajectory forecasting has been a field of active research
owing to its numerous real-world applications: evacuation situation analysis, deployment of …

This paper presents safety barrier certificates that ensure scalable and provably collision-
free behaviors in multirobot systems by modifying the nominal controllers to formally satisfy …

Robots that navigate among pedestrians use collision avoidance algorithms to enable safe
and efficient operation. Recent works present deep reinforcement learning as a framework …