Robotics
Machines that act on meaning, not on raw data.
What changes when a machine acts on meaning?
In robotics we use frameworks built around objects — machines, parts, states and actions. They take their data from GitMir's structured model, so mechanisms act without errors and as fast as possible, on systems with limited resources, and work on their own.
A controller does not have to reconstruct what a part is, what it may do and what must hold before it moves from raw streams of numbers on every cycle. That knowledge arrives prepared, compact and checked.
Robotics, in four points
Frameworks built around objects
Every machine, part, state and action is an object with the rules it must keep. The mechanism is driven by those objects, not by raw streams of numbers.
Fed by GitMir's model
The frameworks receive their data from GitMir's structured model: what each part is, what it may do, and what must hold before it moves.
Fast on limited hardware
Meaning is prepared and compressed before the machine needs it, so a controller with little compute, memory and power still decides quickly.
Autonomous by design
Machines keep working without a person in the loop or a constant connection — inside the rules the model gives them, without errors.
GitMir publishes what its work produces and how it is measured. It does not publish the representation or the algorithms behind this line. This is work in progress: when there is a result worth reporting, it will appear here as a measurement, with method, scope and limitations.