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 …

This paper examines the effect of real-time, personalized alignment of a robot's reward
function to the human's values on trust and team performance. We present and compare …

Trust model is a topic that first gained interest in organizational studies and then human
factors in automation. Thanks to recent advances in human-robot interaction (HRI) and …

A trust-aware safe control system for autonomous navigation in the presence of humans,
specifically pedestrians, is presented. The system combines model predictive control (MPC) …

With the advent of AI technologies, humans and robots are increasingly teaming up to
perform collaborative tasks. To enable smooth and effective collaboration, the topic of value …

The growing presence of AI-driven systems in everyday life calls for the development of
efficient methods to facilitate interactions between humans and AI agents. At the heart of …

Social robotics has recently focused on developing AI agents that recognise and respond to
human emotions. The use of plan-based approaches is promising, especially in domains …

Trust between team members is a necessary part of any successful cooperation. Therefore,
in mixed human-robot teams, the robot must possess the ability to model, assess and …

The objective is investigating how humans perceive and compare their trust between similar
real (physical) and virtual intelligent agents (a social robot and a virtual human) in real-world …

The objective is investigating how humans perceive and compare their trust between similar
real (physical) and virtual intelligent agents (a social robot and a virtual human) in real-world …