Humanoid robots are equipped with humanoid arms to make them more acceptable to the
general public. Humanoid robots are a great challenge in robotics. The concept of digital …

In this article, an adaptive tracking control strategy is designed for uncertain electrically
driven end-effector type upper-limb rehabilitation robots subject to an input delay and a …

Efficient and high-precision identification of dynamic parameters is the basis of model-based
robot control. Firstly, this paper designed the structure and control system of the developed …

This paper considers a new fuzzy sliding mode control (NFSMC) of a 7 Degree of Freedoms
(7-DoF) upper-limb exoskeleton robot. The proposed exoskeleton robot has a complex …

Powered exoskeleton rehabilitation is an effective way to help stroke patients recover their
motor abilities. Bionic structures and human-like control strategies can be used to enhance …

Wearable walking exoskeletons show great potentials in helping patients with neuro
musculoskeletal stroke. Key to the successful applications is the design of effective walking …

This article proposes a data-driven multiobjective evolutionary interval type-2 fuzzy-logic
system (IT2FLS) learning approach that considers both system performance and rule …

This paper aims to propose a novel idea for the modeling and trajectory tracking control of a
lower limb rehabilitation robot. A polynomial nonlinear uncertain model is established to …

To address the trajectory tracking issue of upper-limb rehabilitation exoskeleton with
uncertainties and external disturbances, this paper proposes a fractional-order ultra-local …

In this paper, we propose a new adaptive visual tracking control approach based on sliding
mode control in Cartesian space applied to an exoskeleton robot with uncertain kinematics …