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 …

While reinforcement learning (RL) has become a more popular approach for robotics,
designing sufficiently informative reward functions for complex tasks has proven to be …

The role of robots in society keeps expanding and diversifying, bringing with it a host of
issues surrounding the relationship between robots and humans. This introduction to human …

We present Self-Play Preference Optimization (SPO), an algorithm for reinforcement
learning from human feedback. Our approach is minimalist in that it does not require training …

Mobile manipulators that combine base mobility with the dexterity of an articulated
manipulator have gained popularity in numerous applications ranging from manufacturing …

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 …

A handover is a complex collaboration, where actors coordinate in time and space to
transfer control of an object. This coordination comprises two processes: the physical …

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 …

To effectively collaborate with people, robots are expected to detect and profile the users
they are interacting with, but also to modify and adapt their behavior according to the …

Repetitive industrial tasks can be easily performed by traditional robotic systems. However,
many other works require cognitive knowledge that only humans can provide. Human-Robot …