This document presents a systematic review of Multimodal Human–Computer Interaction. It
shows how different types of interaction technologies (virtual reality (VR) and augmented …

Effective collaboration is based on online adaptation of one's own actions to the actions of
their partner. This article provides a principled formalism to address online adaptation in …

This paper proposes a machine learning (ML) approach to detect and resolve motion
conflicts that occur between a human and a proactive robot during the execution of a …

In the near future, humans and robots are expected to perform collaborative tasks involving
physical interaction in various environments, such as homes, hospitals, and factories …

This paper presents an adaptive haptic shared control framework wherein a driver and an
automation system are physically connected through a motorized steering wheel. An …

This paper contributes to the field of physical human-robot collaboration. We present a
complete control framework, which aims at making humanoid robots capable of carrying …

A seamless interaction requires two robotic behaviors: the leader role where the robot
rejects the external perturbations and focuses on the autonomous execution of the task, and …

In this paper, we propose a supervised learning approach based on an Artificial Neural
Network (ANN) model for real-time classification of subtasks in a physical human–robot …

In many physical human–robot interaction scenarios, for successful completion of the tasks,
robots should be able to recognize the human partner's intention. One of such scenarios that …

An emerging research problem in assistive robotics is the design of methodologies that
allow robots to provide personalized assistance to users. For this purpose, we present a …