In this article, a robust fuzzy controller based on the Linear Quadratic Regulator (LQR)
method is presented and optimized by Multi-Objective High Exploration Particle Swarm …

The propensity of manufacturers to produce goods at affordable cost, with more accuracy,
and at a faster rate force them to search for novel solutions, such as deploying robots in …

A manipulator is an alternative to progress profitability in mechanical computerization. The
robotic controller executes forms' assembly operations in hazardous conditions. Since …

A robot is an option to improve productivity in industrial automation. Automated manipulators
have been applied to hazardous environments and routine manufacturing functions …

In general, structures with rotational joints and linearized dynamic equations are used to
facilitate the control of manipulator robots. However, in some cases, the workspace is …

The robots pay important role in all parts of our life. Hence, the modeling of the robot is
essential to develop the performance specification. Robot model of six degree of freedom …

Аннотация Рассматривается задача приведения конечного эффектора (центра схвата)
антропоморфного манипулятора подводного аппарата в заданное положение за …

In order for a robot manipulator to reach a desired position, an accurate knowledge of
kinematics is required. Also, the Jacobian matrix of the robot manipulator should be …

Teaching–learning–based optimization (TLBO) is an algorithm based on the influence of a
teacher on the output of learners in a class. This method has shown to be more effective and …

This work presents a novel fuzzy adaptive controller for position regulation of the joint
variables for a nonlinear 3DOF Revolute-Prismatic-Prismatic (RPP) manipulator. To reach …