As the global population rapidly ages with longer life expectancy and declining birth rates,
the need for healthcare services and caregivers for older adults is increasing. Current …

Background: Open Access Editor's Choice Review Survey on Physiological Computing in
Human–Robot Collaboration by Celal Savur 1,* and Ferat Sahin 2 1 Intel Labs, Hillsboro …

This study investigates the implementation of collaborative robots across three distinct
industrial sectors: vehicle assembly, warehouse logistics, and agricultural operations …

Abstract The integration of Augmented Reality (AR) into Human–Robot Interaction (HRI)
represents a significant advancement in collaborative technologies. This paper provides a …

Fluent human-robot collaboration requires a robot teammate to understand, learn, and adapt
to the human's psycho-physiological state. Such collaborations require a physiological …

This study investigates the potential of augmented reality (AR) to enhance users' ability to
predict the position of a robotic tool when it enters their blind spot. Augmented reality is …

Effective human–robot collaboration (HRC) requires robots to understand and adapt to
humans' psychological states. This research presents a novel approach to quantitatively …

Social compatibility is one of the most important parameters for service robots. It
characterizes the quality of interaction between a robot and a human. In this paper, a human …

Fluent human-robot collaboration requires a robot teammate to understand, learn, and adapt
to the human's psycho-physiological state. Such collaborations require a computing system …

Human motion prediction forecasts future human poses from the histories, which is
necessary for all tasks that need human-robot interactions. Currently, almost existing …