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 …

Mobile robot autonomous navigation in large-scale environments with crowded dynamic
objects and static obstacles is still an essential yet challenging task. Recent works have …

We focus on the problem of planning the motion of a robot in a dynamic multiagent
environment such as a pedestrian scene. Enabling the robot to navigate safely and in a …

While most research has focused on one-on-one interactions, Socially Interactive Agents
(SIAs) for multiparty interaction have received increasingly more atten tion in the past years …

The analysis and simulation of the interactions that occur in group situations is important
when humans and artificial agents, physical or virtual, must coordinate when inhabiting …

Smooth social navigation requires not only detection of the people around the robot, but also
accurate localization of the people, a process difficult to achieve with a single sensing …

Human-aware robot navigation promises a range of applications in which mobile robots
bring versatile assistance to people in common human environments. While prior research …

Mobile robots that approach free-standing conversational groups to join them should
behave in a safe and socially-acceptable way. Existing trajectory generation methods focus …

An autonomous mobile robot must be capable of navigating through its environment safely
in a collision-free manner. This is particularly challenging in dynamic environments, where …

Trajectory prediction is an important task in many real-world applications. However, data-
driven approaches typically suffer from dramatic performance degradation when applied to …