Learned Control of Manufacturing Processes

Brian Anthony

The control of a manufacturing process is critical in maintaining the consistent quality of materials or products. Machine learning, especially deep reinforcement learning, overcomes limitations of other control strategies by adapting to the characteristics of specific production equipment. This project will create a new level of manufacturing system performance using 
process control methods based on deep learning.
 
See Professor Brian Anthony present this project at IdeaStream 2020 below.