Robots are becoming increasingly omnipresent in our daily lives, supporting us and carrying
out autonomous tasks. In Human-Robot Interaction, human actors benefit from …

Researchers in human–robot collaboration have extensively studied methods for inferring
human intentions and predicting their actions, as this is an important precursor for robots to …

What does transparency mean in a shared autonomy framework? Different ways of
understanding system transparency in human-robot interaction can be found in the state of …

Intent sensing is a growing field within medical device control, with major potential
applications for assistive devices, such as prosthetics. As many sensors as possible should …

Robots that share an environment with humans may communicate their intent using a variety
of different channels. Movement is one of these channels and, particularly in manipulation …

Creating effective teamwork between humans and robots involves not only addressing their
performance as a team but also sustaining the quality and sense of unity among teammates …

We present SLOT-V, a novel supervised learning framework that learns observer models
(human preferences) from robot motion trajectories in a legibility context. Legibility measures …

We seek to understand the human teammate's perception of fairness during a human-robot
physical collaborative task where certain subtasks leverage the robot's strengths and others …

The usefulness of medical devices, which require user input, is often limited by the control
schemes that operate them. The recognition of user intent could enable far more intuitive …

Communication among team members is important for efficient teamwork, to coordinate
behavior and ensure that all team members have the information they need to complete the …