Professional Experience 

                                                   Introduction

The "Learning-Based Motion Planning of a 6-DOF Manipulator using a Neural Network" project delves into the realm of robotics and artificial intelligence, addressing the intricate challenge of optimizing the motion planning process for a manipulator with six degrees of freedom. Traditional motion planning methods often struggle with the computational complexity of high-dimensional spaces and real-time adaptability. In response, this project introduces a novel approach that leverages the capabilities of neural networks. By training the neural network on a diverse dataset of manipulator configurations and their associated safe trajectories, the aim is to create a model that can predict efficient collision-free paths for the manipulator in various scenarios. This innovation not only holds the potential to revolutionize motion planning but also paves the way for more adaptable and intelligent robotic systems.