This article presents perspective on the research challenge of understanding and
synthesizing anthropomorphic whole-body contact motions through a platform called …

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

This paper presents a model for generating expressive robot motions based on human
expressive movements. The proposed data-driven approach combines variational …

Inverse Optimal Control (IOC) is a popular method for human motion analysis. In the context
of these methods it is necessary to pay attention to the reliability of the results. This paper …

Inverse optimal control (IOC) is a framework used in many fields, especially in robotics and
human motion analysis. In this context, various methods of resolution have been proposed …

Research in biomechanics hypothesizes that human motion is optimal with respect to an
unknown cost function that varies depending on the action and/or task. This unknown cost …

Abstract Inverse Optimal Control (IOC) is a useful technique to estimate the importance of
cost functions used to optimally control a system by observing its motion. The computational …

Despite many studies in human motion analysis using optimal control theory to understand
how movement is generated, less attention is focused on the structure of the optimal …

Abstract Function Principal Component Analysis (FPCA) has been considered useful for
accelerating the reproduction of Direct Optimal Control (DOC) and the estimation of cost …