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 …

As mobile robots are increasingly introduced into our daily lives, it grows ever more
imperative that these robots navigate with and among people in a safe and socially …

A major challenge to deploying robots widely is navigation in human-populated
environments, commonly referred to as social robot navigation. While the field of social …

Social navigation research is performed on a variety of robotic platforms, scenarios, and
environments. Making comparisons between navigation algorithms is challenging because …

People in crowd scenes always exhibit consistent behaviors and form collective motions.
The analysis of collective motion has motivated a surge of interest in computer vision …

This work presents the Human Navigation Simulator (HuNavSim), a novel open-source tool
for the simulation of different human-agent navigation behaviors in scenarios with mobile …

Progress in automatization and robotization is unavoidable. However, while progress in
some fields is relatively rapid, others including policing seem to be untouched by …

We present SocialGym 2, a multi-agent navigation simulator for social robot research. Our
simulator models multiple autonomous agents, replicating real-world dynamics in complex …

Evaluation of social robot navigation inherently requires human input due to its qualitative
nature. Motivated by the need to scale human evaluation, we propose a general method for …

We present CoMet, a novel approach for computing a group's cohesion and using that to
improve a robot's navigation in crowded scenes. Our approach uses a novel cohesion …