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

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) …

In this paper, a novel robotic assistive system (RAS) for mobility assistance of elderly adults
is developed based on admittance control with force exertion ability enhancement (FEAE) of …

In this study, a low cost and modular three degree-of-freedom force sensor design is
developed for the purposes of wrist rehabilitation. The proposed sensor in this study and the …

Compliance control is one way to achieve compliance for rigid robots and is widely used in
cooperative robots, lightweight robots, and exoskeleton robots. Real-time accurate collection …

As in many other fields, robots are increasingly being used in the healthcare sector,
particularly for hospital logistics support, surgery and rehabilitation. Rehabilitation is a …

In this paper, we present a control scheme for robotic exoskeletons to gain the desired
transparency for a wide range of tasks, which leads to the provision of sufficient support to …

This paper presents a bi-level adaptive computed-current impedance controller for
electrically driven robots. This study aims to reduce calculation complexities by utilizing the …

In this study, an intelligent controller was developed for a rehabilitation robot called
DIAGNOBOT, which can be used for assessment and treatment in the rehabilitation of wrist …

In this paper, we disclose the design strategy, control design and preliminary works leading
to the development of a post stroke gait rehabilitation exoskeleton. The strategy is …