To solve the time-varying Sylvester equations, a special kind of terminal neural networks
(TNN) and its accelerated form are presented, which show better convergent behaviors of …

In this paper, an attempt has been made to investigate the potential of redundant
manipulators, while tracking trajectories in narrow channels. The behavior of redundant …

This paper offers a comprehensive investigation into the forward and inverse kinematics of a
wrist rehabilitation robot, utilizing the Denavit-Hartenberg method for forward kinematics …

This paper presents novel approach for a visual servoing application of six axis robotic arm.
Basic imageprocessing techniques were used for object recognition and position …

In this work, a teaching–learning-based optimization technique is applied to control the
industrial robot arm trajectory based on an inverse kinematics solution with energy …

Robotic arm is a popular platform of studying robotics in today's world. This paper focuses
on mathematical modeling of a 3 DOF robotic arm. Kinematics and inverse kinematics …

In this paper an algorithm is developed for smooth trajectory with minimum jerk using Cubic-
B spline and intelligent computation of inverse kinematics using different machine learning …

To solve the quadratic optimization program, a novel kind of finite-time recurrent neural
network (FNN) is presented to improve performance of convergent rate and convergent …