Singularities and uncertainties in arm configurations are the main problems in kinematics
robot control resulting from applying robot model, a solution based on using Artificial Neural …

Neural networks with their inherent learning ability have been widely applied to solve the
robot manipulator inverse kinematics problems. However, there are still two open …

The paper proposes a new design of an artificial neural network for solving the inverse
kinematics problem of the anthropomorphic manipulator of robot SAR-401. To build a neural …

Kinematics calibration for quadrupled robots is essential to ensuring motion accuracy and
control stability. The angle of the leg joints of the quadruped robot is error-compensated to …

This paper is devoted to the application of Artificial Neural Networks (ANN) to the solution of
the Inverse Kinematics (IK) problem for serial robot manipulators, in this study two networks …

Before moving a robot arm, it is of considerable interest to know whether there are any
obstacles present in its path. Computer-based robots are usually served in the joint space …

This paper proposes multi-neural networks structure for solving the inverse kinematic
problem of the robot manipulator end-effector position. It offers an opportunity to reduce …

This paper proposes a new practical approach using a RBFN (Radial Basis Function
Network) to approximate the inverse kinematics function of a robot manipulator. It can be …

This paper describes a new approach for approximating the inverse kinematics of a
manipulator using an Ant Colony Optimization (ACO) based RBFN (Radial Basis Function …

This paper discusses the use of artificial neural networks (ANNs) as a method of trajectory
tracking control for a robotic system. Using an ANN does not require any prior knowledge of …