goatai.io/research
Engineering notes from inside the plant
The most durable thing GOATAI can do is explain the hard industrial-AI problems it actually works on — in the open, for the engineers who run physical systems. These tracks are filling in as the engineering matures.
Track 01
Engineering Notes
Working notes on hard industrial-AI problems — perception under plant conditions, sensor fusion, and the systems decisions behind each product.
Engineering Notes
In preparationA recognition-based perception map for crane clearance
Treating anti-collision as dynamic clearance management — learning a bay’s normal state and detecting novelty, rather than enumerating collision cases.
Draft in preparation
Track 02
Architecture Papers
Deeper write-ups on the reasoning architecture and its physics layers — surrogate modeling, reduced-order physics, and the cycle that stays constant across domains.
Architecture Papers
In preparationSurrogate modeling for BOF and continuous-casting reasoning
Coupling physics reduced-order models with ML surrogates for endpoint and quality reasoning over the converter and caster.
Draft in preparation
Track 03
Technical Essays
Position pieces on why physics-grounded reasoning generalizes where black-box models do not, written for engineers who run physical systems.
Technical Essays
In preparationThe architecture is constant; the physics is grounded
Why one reasoning cycle can run crane, furnace, caster, and ladle — and why that is an engineering claim, not a marketing one.
Draft in preparation
Track 04
Field Observations
What the plant actually looks like up close — site surveys, bay geometry, and the constraints that shape real deployments.
Field Observations
In preparationInside a ladle bay: 36 stands, three cranes, and what coverage requires
Field notes from the DE-bay survey — why per-stand visibility is a geometry problem before it is a vision problem.
Draft in preparation
Collaborate
Working on the same problems?
We share early drafts and methodology with research partners and operating teams. If you run a plant, a shop floor, or a lab working on physics-grounded reasoning, get in touch.