As social robots become more common, there is a need to understand how people perceive
and interact with such technology. This systematic review seeks to estimate people's …

With the world population aging and the number of healthcare users with multiple chronic
diseases increasing, healthcare is becoming more costly, and as such, the need to optimise …

This paper examines how people's trust and dependence on robot teammates providing
decision support varies as a function of different attributes of the robot, such as perceived …

As a new general-purpose technology, robots have the potential to radically transform
employment and organizations. In contrast to prior studies that predict dramatic employment …

Decision trees are ubiquitous in machine learning for their ease of use and interpretability.
Yet, these models are not typically employed in reinforcement learning as they cannot be …

Abstract Learning from Demonstration (LfD) seeks to democratize robotics by enabling non-
roboticist end-users to teach robots to perform a task by providing a human demonstration …

Trust in human-robot interactions (HRI) is measured in two main ways: through subjective
questionnaires and through behavioral tasks. To optimize measurements of trust through …

An intelligent assistant (IA) is a computer system endowed with artificial intelligence and/or
machine learning techniques capable of intelligently assisting people. IAs have gained in …

We typically think of artificial intelligence (AI) as focusing on empowering machines with
human capabilities so that they can function on their own, but, in truth, much of AI focuses on …

Abstract ROS, the Robot Operating System, offers a core set of software for operating robots
that can be extended by creating or using existing packages, making it possible to write …