The following are the four main objectives of CSAM.
CSAM will generate new knowledge in the application of artificial intelligence to high precision part manufacture and measurement. Specifically, it will enable self-aware operation, or the ability of a production or measuring machine to understand its current state and surroundings and respond accordingly.
The innovation is the combination of data-driven and physics-based models to provide hybrid physics-guided data learning approaches that improve the accuracy, physical consistency, traceability, and generalizability of model predictions over traditional data-driven and physics-based methods.
CSAM will establish a disruptive capability that redefines manufacturing from the shop floor to the enterprise level across the entire global economy. The research efforts will leverage existing team expertise in artificial intelligence, machining process modeling, measurement science, design and ultraprecision machining of freeform optics, and vision systems.
The research will address the current needs of the US manufacturing base, while leveraging multiple strategic partnerships to ensure technology transfer to industry and the long-term sustainability of the effort.