This article reviews the state of the art in social eye gaze for human-robot interaction (HRI). It
establishes three categories of gaze research in HRI, defined by differences in goals and …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

Earlier theorizing suggested that an (artificial) agent that combines persuasive strategies will
be more persuasive. Therefore, the current research investigated whether a robot that uses …

As service robots are envisioned to provide decision-making support (DMS) in public places,
it is becoming essential to design the robot's manner of offering assistance. For example …

Despite major progress in Robotics and AI, robots are still basically “zombies” repeatedly
achieving actions and tasks without understanding what they are doing. Deep-Learning AI …

Learning human–robot interaction logic from example interaction data has the potential to
leverage “big data” to reduce the effort and time spent on designing interaction logic or …

Various attempts have been made to research the proactive interaction behavior of robots
and to apply different service scenarios from home to public areas but have not investigated …

It is expected that in the near future robots will be increasingly involved in social roles,
however, understanding how students learn empathic skills, and how technology can …

Intelligent robots designed to interact with humans in real scenarios need to be able to refer
to entities actively by natural language. In spatial referring expression generation (REG), the …

We present our implementation of a self-as-simulator architecture for mental state
manipulation through physical action. The robot attempts to model how a human's mental …