Human gaze reveals a wealth of information about internal cognitive state. Thus, gaze-
related research has significantly increased in computer vision, natural language …

Corrective interventions while a robot is learning to automate a task provide an intuitive
method for a human supervisor to assist the robot and convey information about desired …

With the approaching goal of having robots collaborate in shared human-robot
environments, navigation in this context becomes both crucial and desirable. Recent …

Gaze-Following aims to predict the gaze target of a subject within an image, and information
on orientation and depth greatly improves this task. However, previous methods require …

People are proficient at communicating their intentions in order to avoid conflicts when
navigating in narrow, crowded environments. Mobile robots, on the other hand, often lack …

Gaze following, ie, detecting the gaze target of a human subject, in 2D images has become
an active topic in computer vision. However, it usually suffers from the out of frame issue due …

As human–agent collaborations become more prevalent, it is increasingly important for an
agent to be able to adapt to their collaborator and explain their own behavior. In order to do …

A major goal in robotics is to enable intelligent mobile robots to operate smoothly in shared
human-robot environments. One of the most fundamental capabilities in service of this goal …

Assistive robot manipulators help people with upper motor impairments perform tasks by
themselves. However, teleoperating a robot to perform complex tasks is difficult. Shared …

Human attention modelling has proven, in recent years, to be particularly useful not only for
understanding the cognitive processes underlying visual exploration, but also for providing …