Self-learning of a robotic arm to pick up wheel bearings using deep neural networks

Abstract

The field of robotics has been becoming increasingly popular over the years because of their various benefits and prospects. Incorporating them into a factory setting can bring about faster production times, reduced waste of materials and resources, and better utilization of manpower.

This project aims to simulate a factory setting with mobile robots working in it while avoiding obstacles when navigating the factory.

The original project, “Self-learning of a robotic arm to pick up wheel bearings using deep neural networks”, allocated to me was terminated and the current project was undertaken due to a change of supervisor in semester one of the academic year. As a result, I had approximately only one semester to complete the project. The project title is still the old project’s title however because the deadline to change it was over.