Neurological impairments such as stroke cause damage to the functional mobility of
survivors and affect their ability to perform activities of daily living. Recently, robotic treatment …

This paper proposes a cable-driven parallel waist rehabilitation robot with two-level control
algorithm to assist the patients with waist injuries to do some rehabilitation training. The …

Neuroplasticity allows the human nervous system to adapt and relearn motor control
following stroke. Rehabilitation therapy, which enhances neuroplasticity, can be made more …

This article presents assistive control schemes for rehabilitation robots. The objective was to
develop control strategies to follow a predefined path by maximizing the active participation …

Robot-assisted physical therapy of the upper limb is becoming popular among the
rehabilitation community. The wrist is the second most complicated joint in the upper limb …

In this paper, we present an event-triggered critic learning impedance control algorithm for a
lower limb rehabilitation exoskeleton robot in an interactive environment, where the control …

In robotic cooperation manufacturing occasions, like grinding, assembling, welding, etc., the
position-force synchronization tracking control for robotic cooperative manipulators is critical …

In this paper, a neural network (NN)-based adaptive hybrid impedance control (AHIC)
scheme is proposed for the electrically driven flexible-joint robotic manipulators (EDFJRM) …

This work presents a hybrid position-force control of robots in order to apply surface
treatments such as polishing, grinding, finishing, deburring, etc. The robot force control is …

In this paper, aiming at the phenomenon that the calibration coefficient deviation of the one-
dimensional force sensor will lead to the deviation in measuring force, a novel method is …