The lower extremity exoskeletons (LEE) are used as an assistive device for disabled people,
rehabilitation for paraplegic, and power augmentation for military or industrial workers. In all …

A model-free based neural network control with time-delay estimation (TDE-MFNNC) for
lower extremity exoskeleton is presented in this paper. The lower limb exoskeleton which …

The design of a 12 DOF lower limb multi-functional exoskeleton is realized in SolidWorks
with the analysis of kinematics. For controller design, this paper presents the model-free …

With the increasing use of humanoid robots in several sectors of industrial automation and
manufacturing, navigation and path planning of humanoids has emerged as one of the most …

This paper proposes a control scheme based on the fraction integral terminal sliding mode
control and adaptive neural network. It deals with the system model uncertainties and the …

AdaBoost-KNN using adaptive feature selection with direct optimization is proposed for
dynamic emotion recognition in human-robot interaction, where the real-time dynamic …

Electroencephalogram (EEG) is the brain's electrical activity measure, which can reflect
people's inner emotional states objectively. In this article, a dispersion entropy (DispEn) …

A virtual prototype design and corresponding mathematical model analysis is presented. To
obtain a stable and smooth synthesized gait, the zero-moment-point (ZMP) theory and three …

Main problem of humanoid locomotion is walking stability. Goal of this research is designing
and standardize the stability of robot. Commonly, research of humanoid robot uses the …

In this study, the conventional virtual chain method is refined and a 4‐degrees‐of‐freedom
(DOF) parallel bipedal mechanism (PBM) for walking robots is presented. The proposed …