In the context of robotics and automation, learning from demonstration (LfD) is the paradigm
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …

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 …

Reinforcement learning (RL) techniques optimize the accumulated long-term reward of a
suitably chosen reward function. However, designing such a reward function often requires …

This article surveys the literature on human–robot object handovers. A handover is a
collaborative joint action, where an agent, the giver, gives an object to another agent, the …

Physical embodiment is a required component for robots that are structurally coupled with
their real-world environments. However, most socially interactive robots do not need to …

Intelligent systems are increasingly part of our everyday lives and have been integrated
seamlessly to the point where it is difficult to imagine a world without them. Physical …

In this work, we present a novel control approach to human-robot collaboration that takes
into account ergonomic aspects of the human co-worker during power tool operations. The …

Observation is key to management scholarship and practice. Yet a holistic view of its role in
management has been elusive, in part due to shifting terminology. The current popularity of …

This paper proposes an interaction learning method for collaborative and assistive robots
based on movement primitives. The method allows for both action recognition and human …

In this paper we provide empirical evidence that using humanlike gaze cues during human-
robot handovers can improve the timing and perceived quality of the handover event …