In this paper, the adaptive neural network (NN) tracking control problem is addressed for
robot manipulators subject to dead-zone input. The control objective is to design an adaptive …

This work offers the solution at the control feed-back level of the accurate trajectory tracking
subject to finite-time convergence. Dynamic equations of a rigid robotic manipulator are …

Most position/force control schemes assume that the contact surface is exactly known. In the
presence of constraint uncertainties these controllers cannot ensure convergence to zero of …

This paper addresses a virtual force field between mobile robots and obstacles to keep them
away with a desired distance. An online learning method of hybrid force/position control is …

Through this article, we present an advanced prescribed performance-tracking control
system with finite-time convergence stability for uncertain robotic manipulators. It is therefore …

This paper addresses the global finite‐time tracking of robot manipulators. The commonly
used linear proportional‐derivative (PD) plus (PD+) scheme is extended to achieve the …

This paper addresses the global finite-time tracking of robot manipulators. By replacing with
the nonlinear exponential-like errors, the commonly used inverse dynamics control for robot …

The paper addresses the finite-time convergence problem of a uncalibrated camera-robot
system with uncertainties. These uncertainties include camera extrinsic and intrinsic …

A historical review of constrained robot modeling and control strategies is first introduced.
Next, a design of a motion/force controller for a constrained servo-robot, which is based on a …

This work offers the solution at the control feed-back level of the accurate positioning in a
finite time of the end-effector whose mobile manipulator is subject to control and complex …