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

• Main Author: Mohamed Imran Hussain Mohamed Ishak
• Other Authors: Soh Yeng Chai
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2022
• Subjects: Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
• Online Access: https://hdl.handle.net/10356/158478
• Institution: Nanyang Technological University

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.