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

In recent years, we have witnessed dramatic developments of mobile healthcare robots,
which enjoy many advantages over their human counterparts. Previous communication …

Developments in mobile robot navigation have enabled robots to operate in warehouses,
retail stores, and on sidewalks around pedestrians. Various navigation solutions have been …

The field of trajectory forecasting has grown significantly in recent years, partially owing to
the release of numerous large-scale, real-world human trajectory datasets for autonomous …

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 …

Socially aware robot navigation is gaining popularity with the increase in delivery and
assistive robots. The research is further fueled by a need for socially aware navigation skills …

As the prevalence of data analysis grows, safeguarding data privacy has become a
paramount concern. Consequently, there has been an upsurge in the development of …

There are many challenges for robot navigation in densely populated dynamic
environments. This paper presents a survey of the path planning methods for robot …

Detecting other agents and forecasting their behavior is an integral part of the modern
robotic autonomy stack, especially in safety-critical scenarios entailing human-robot …

Forecasting pedestrians' future trajectory in unknown complex environments is essential to
autonomous navigation in real‐world applications, for example, for self‐driving cars and …