Interaction control presents opportunities for contact robots physically interacting with their
human user, such as assistance targeted to each human user, communication of goals to …

In this paper, we propose a role adaptation method for human-robot shared control. Game
theory is employed for fundamental analysis of this two-agent system. An adaptation law is …

This article presents a state-of-the-art survey on the robotic systems, sensors, actuators, and
collaborative strategies for physical human-robot collaboration (pHRC). This article starts …

In this paper, we propose a framework to analyze the interactive behaviors of humans and
robots in physical interactions. Game theory is employed to describe the system under study …

Human-robot collaboration seeks to have humans and robots closely interacting in everyday
situations. For some tasks, physical contact between the user and the robot may occur …

In this paper, the formation tracking control is studied for a multiagent system (MAS) with
communication limitations. The objective is to control a group of agents to track a desired …

Many tasks, particularly those involving interaction with the environment, are characterized
by high variability, making robotic autonomy difficult. One flexible solution is to introduce the …

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 …

Musculoskeletal disorders of the wrist are common in the meat industry. A proof of concept of
a physical human-robot interaction (pHRI)-based assistive strategy for an industrial meat …

The level of autonomy is increasing in systems spanning multiple domains, but these
systems still experience failures. One way to mitigate the risk of failures is to integrate human …