Cobot-enabled Nondestructive Quality Control in Production Lines with Advanced Vision and Machine Learning for Smart Manufacturing

The overall research aim of this project is to fundamentally investigate the novel Cobot-enabled nondestructive quality control strategies by enabling holistic control and interactions of collaborative robots in complex human-robot collaborative manufacturing environments such that safety and interaction of nearby humans/operators can be maintained while the in-process inspection and quality control are being done. It is also critical to understand how to ensure the efficiency and flexibility of the manufacturing process can be achieved when process variations or environmental changes occur in advanced manufacturing systems. It is important that the Cobot-enabled nondestructive quality control is able to work collaboratively in a safe manner around a designated area of production lines, such as automated egg packaging stations. In a busy manufacturing environment, there can be no errors leading to production down.

REA Studentship (3548), in total £78,914.00