Factory Control
Control Semantics Architecture
A semantic architecture that makes manufacturing control readable, reasonable, actionable, and learnable for AI.
From physical workcells to control semantics
We represent devices, I/O signals, task flows, state transitions, safety rules, and operation constraints as structured control semantics rather than isolated ladder fragments or human-only documents.
CSG, PTP, and grounded control meaning
Control Semantic Graphs and Part Travel Plans provide AI-interpretable views of workpart flow, device roles, condition-action relations, and execution dependencies. These representations ground high-level manufacturing intent to concrete sensors, actuators, and PLC tags.
Semantic-to-control process
The long-term goal is to transform multimodal manufacturing information into semantic views, build control semantic graphs, derive intermediate control representations, and generate or verify executable industrial control programs.