[HTML][HTML] A survey on robots controlled by motor imagery brain-computer interfaces
J Zhang, M Wang - Cognitive Robotics, 2021 - Elsevier
A brain-computer interface (BCI) can provide a communication approach conveying brain
information to the outside. Especially, the BCIs based on motor imagery play the important …
information to the outside. Especially, the BCIs based on motor imagery play the important …
Exoskeleton robots for lower limb assistance: A review of materials, actuation, and manufacturing methods
The field of robot-assisted physical rehabilitation and robotics technology for providing
support to the elderly population is rapidly evolving. Lower limb robot aided rehabilitation …
support to the elderly population is rapidly evolving. Lower limb robot aided rehabilitation …
Adaptive fuzzy full-state and output-feedback control for uncertain robots with output constraint
X Yu, W He, H Li, J Sun - IEEE Transactions on Systems, Man …, 2020 - ieeexplore.ieee.org
This article focuses on the tracking control issue of robotic systems with dynamic
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …
uncertainties. To enhance tracking accuracy in a robotic manipulator with uncertainties, an …
Recent development of mechanisms and control strategies for robot-assisted lower limb rehabilitation
Robot-assisted rehabilitation and therapy has become more and more frequently used to
help the elderly, disabled patients or movement disorders to perform exercise and training …
help the elderly, disabled patients or movement disorders to perform exercise and training …
Network-based event-triggered control for singular systems with quantizations
This paper investigates the problem of event-triggered H∞ control for a networked singular
system with both state and input subject to quantizations. First, a discrete event-triggered …
system with both state and input subject to quantizations. First, a discrete event-triggered …
Adaptive impedance control for an upper limb robotic exoskeleton using biological signals
This paper presents adaptive impedance control of an upper limb robotic exoskeleton using
biological signals. First, we develop a reference musculoskeletal model of the human upper …
biological signals. First, we develop a reference musculoskeletal model of the human upper …
Human-in-the-loop control of a wearable lower limb exoskeleton for stable dynamic walking
Exoskeletons are increasingly used to assist humans in military, industry, and healthcare
applications, thereby enabling individuals to gain increased strength and endurance. This …
applications, thereby enabling individuals to gain increased strength and endurance. This …
Reduced adaptive fuzzy decoupling control for lower limb exoskeleton
This article reports our study on a reduced adaptive fuzzy decoupling control for our lower
limb exoskeleton system which typically is a multi-input-multi-output (MIMO) uncertain …
limb exoskeleton system which typically is a multi-input-multi-output (MIMO) uncertain …
Neural-learning-based control for a constrained robotic manipulator with flexible joints
W He, Z Yan, Y Sun, Y Ou, C Sun - IEEE transactions on neural …, 2018 - ieeexplore.ieee.org
Nowadays, the control technology of the robotic manipulator with flexible joints (RMFJ) is not
mature enough. The flexible-joint manipulator dynamic system possesses many …
mature enough. The flexible-joint manipulator dynamic system possesses many …
Nonlinear disturbance observer-based control design for a robotic exoskeleton incorporating fuzzy approximation
To perform power augmentation tasks of a robotic exoskeleton, this paper utilizes fuzzy
approximation and designed disturbance observers to compensate for the disturbance …
approximation and designed disturbance observers to compensate for the disturbance …