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

The advent of Industry 4.0 has heralded advancements in Human–robot Collaboration
(HRC), necessitating a deeper understanding of the factors influencing human decision …

Robots are embodied agents that act under several sources of uncertainty. When assisting
humans in a collaborative task, robots need to communicate their uncertainty to help inform …

We introduce RoboVisAR, an immersive augmented reality (AR) authoring tool for in-situ
robot visualisations. AR robot visualisations, such as the robot's movement path, status, and …

We developed a motion control algorithm for a social mobile robot to intuitively convey its
intent via social cues to pass through aisles and avoid misunderstanding in passing …

For a mobile robot, navigation in a densely crowded space can be a challenging and
sometimes impossible task, especially with traditional techniques. In this paper, we present …

Research in human-robot collaboration explores aspects of using interaction modalities and
their effect on human perception. Particular attention is paid to intent communication, which …

Building effective voice interfaces for the instruction of service robots in specialised
environments is difficult due to the local knowledge of workers, such as specific terminology …

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 …

In this study, we present a road map from shared to full autonomy for human-in-the-loop
mobile robot navigation systems. We proposed a shared autonomy framework that …