The inverse optimal control for finite-horizon discrete-time linear quadratic regulators is
investigated in this paper, which is to estimate the parameters in the objective function using …

Researchers in biomechanics, neuroscience, human–machine interaction and other fields
are interested in inferring human intentions and objectives from observed actions. The …

This brief presents an inverse optimal control methodology and its application to training a
predictive model of human motor control from a manipulation task. It introduces a convex …

Collaborative robotics is one of the main drivers of the fourth industrial revolution, where
robots and humans cooperate in a shared workspace. Such robots are distinguished from …

Human–robot interaction is an important aspect of Industry 4.0, and the extended use of
robotics in industrial environments will not be possible without enabling them to safely …

This book aims to provide an introduction to selected topics within the theory of inverse
problems in optimal control and noncooperative dynamic game theory. These topics have …

Nowadays, many applications involving humans and robots working together require
physical interaction. It is known that, during an interaction, the mutual understanding and …

Human arm movements are highly stereotypical under a large variety of experimental
conditions. This is striking due to the high redundancy of the human musculoskeletal system …

Game-based virtual reality systems have been shown to enhance motor function, motivation
and therapy adherence in cerebral palsy (CP) children. In these systems, several types of …

Human-robot interaction is a key enabling technology of Industry 4.0 and the prospected
pervasiveness of robotics in industrial environments will be not possible without enabling …