Neural networks have been widely investigated for the control of robot manipulators and
recurrent neural network (RNN) is accepted as a powerful tool for visual servoing. Different …

Hybrid impedance/admittance control aims to provide an adaptive behavior to the
manipulator in order to interact with the surrounding environment. In fact, impedance control …

This research has been devoted to the construction of a permanent-stable algorithm for
tracking control of a nonlinear 1-degree of freedom (DOF) mechanical system affected by a …

Implementing impedance control in Cartesian task space or directly at the joint level is a
popular option for achieving desired compliance behavior for robotic manipulators …

When a robot performs tasks such as assembly or human–robot interaction, it is inevitable
for it to collide with the unknown environment, resulting in potential safety hazards. In order …

The inaccurate force and position control of tendon sheath system (TSS) due to nonlinear
friction during surgery seriously hinders its development in the field of precision surgical …

This paper proposes a novel cascade impedance control architecture designed for the
upper limb exoskeleton rehabilitation robot. The proposed architecture comprises two parts …

This paper proposes a novel cascade impedance control architecture designed for the
upper limb exoskeleton rehabilitation robot. The proposed architecture comprises two parts …

A nonlinear optimal (H-infinity) control approach is proposed for the dynamic model of multi-
DOF redundant robotic manipulators. Because of the complicated kinematics and dynamics …

Isokinetic exercise is considered as one of the most effective ways for rehabilitation and
muscle strength enhancement. As rehabilitation equipment, the isokinetic exercise device …