In the design of neural networks, generally the selection of the structural parameters is
chosen through trial and error procedures, consuming large amounts of resources and …

Inverse kinematics plays a significant role in the robotic motion control. The flexible way to
formulate the inverse kinematics can be achieved by using a neural network. The drawback …

In this paper a method is proposed for finding the complete number of the inverse kinematic
solutions by using of Artificial Neural Networks (ANN). The training data, which are …

A common issue with X-ray examinations (XE) is the erroneous quality classification of the
XE, implying that the process needs to be repeated, thus delaying the diagnostic …

Solution of inverse kinematics equations of robotic manipulators constitutes usually a
demanding problem, which is also required to be resolved in a time-efficient way to be …

In this paper, a method for solving forward and inverse kinematics of redundant manipulator
is proposed. Obtaining the joint variables of these manipulators from a desired position of …

This paper investigates a novel forward adaptive neural MIMO NARX model which is
applied for modeling and identifying the forward kinematics of the industrial 5-DOF robot arm …

The amount of data that can be represented in the workspace of a robotic manipulator can
be a factor that has a decisive influence on the processing time and that ensures the …

In this paper, a method for forward and inverse kinematics analysis of a 5-DOF pioneer
robotic arm (PArm) having 6-DOF end-effector is proposed. Obtaining the trajectory and …

In this paper, a feedforward neural network is trained towards the generalisation of the
inverse kinematics of a 3R metamorhic manipulator with one pseudojoint. A two hidden …