This paper presents an overview of robust control schemes for robot manipulators. The
survey summarizes the vast literature on the subject. The different modelling assumptions …

A robust neural network output feedback scheme is developed for the motion control of robot
manipulators without measuring joint velocities. A neural network observer is presented to …

Industrial robot manipulators are general-purpose machines used for industrial automation
in order to increase productivity, flexibility, and product quality. Other reasons for using …

Many robot controllers require not only joint position measurements but also joint velocity
measurements; however, most robotic systems are only equipped with joint position …

Complex industrial or robotic systems with uncertainty and disturbances are difficult to
control. As system uncertainty or performance requirements increase, it becomes necessary …

This paper presents an observer-based approach to the determination of environment forces
acting on a rigid body. Actuation forces, measured positions and orientations and …

This paper presents a systematic adaptive control strategy which can accomplish a variety of
control objectives (position control, internal force control, constraints, and optimizations) for …

We estimated the reaction force for assembly work with a three-link dual-arm robot
manipulator using sliding mode control with a sliding perturbation observer (SMCSPO) …

An adaptive output feedback controller for robot arms is developed in this paper. To estimate
the joint velocities, a simple nonlinear observer based on the desired velocity and bounded …

This paper develops a novel regressor-free robust controller for rigid robots whose dynamics
can be described using the Euler-Lagrange equations of motion. The function approximation …