The SmartState Lab’s research centers on estimation of manufacturing process states and the inclusion of physical and phenomenological models of manufacturing processes to process control. In exploring this line, I focus on control of processes, control of systems, associated sensing to gather system information, and development of new processes.
A key area of interest under this theme is in integrating the human element to the emerging Internet of Things. Novel sensors, feedback systems, and signal and image processing approaches can effectively make the human part of the control loop of manufacturing, rather than an external observer.
Finally, the lab uses data and models from experimentation to understand limitations of a process and how that restricts the ability of designers to be creative. We initiated in 2013 the Manufacturing for Design methodology, which essentially uses product designer creativity to motivate new approaches in manufacturing. This has led to process augmentation such as Energy-Assisted Manufacturing, and new assembly architectures.