r/controlengineering

I’m working on a small open repo focused on physics-informed AI for manufacturing.

The goal is not to release a production model, but to create lightweight templates for deciding whether a manufacturing workflow is actually AI-ready: clear inputs/outputs, controllable variables, feedback loops, sparse-data constraints, and where physics priors may help.

Would appreciate feedback from people working on ML for physical systems, scientific ML, or industrial AI.

Repo: https://github.com/programmablemanufacturing/programmable-manufacturing-lab