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swarmCORTEX
The swarm, thinking.
Humanoids, forklifts and people share one session. Routes cross. Aisles block. The swarm re-plans as one.
Fleet cognitionNVIDIA Cosmos 3 · potential up to 20% better · simulatedAgentic supervises the coach
What it does
One truth. One fleet. One motion.
Deterministic planning proposes every move; agentic personas approve, override with a stated reason, or veto. No unverified model output ever moves a robot.
01
Shared spatial context
Every humanoid, forklift and person reads the same missionGRAPH beliefs — position, age, claims, blockages — from the Wittra sense mesh.
02
The coach
Hungarian assignment, A* + reservation routing and a claim ledger re-plan the whole fleet every cycle, deterministically.
03
Agentic supervision
Six personas — Mission Director, Spatial Sense, Fleet Orchestrator, Guardian, Memory Steward, Evidence Verifier — one model call per decision cycle.
04
Cosmos 3, potential up to 20% better
Same seeds, same physics, one switch: with swarmCORTEX + missionGRAPH the fleet runs potential up to 20% more efficiently with fewer near-misses — measured in simulation.
The proof
NVIDIA Cosmos 3, potential up to 20% better.
missionGRAPH + swarmCORTEX. Measured in simulation.
Five humanoids. Five forklifts. Ten staff. Same seeds. Same physics. One switch. Throughput up. Near-misses down. Rounded down on purpose.
+25.3%
units per hour vs vision-only floor
1,000 paired seeds · simulated
−23.8%
near-misses between machines and people
1,000 paired seeds · simulated
Unlimited
real-time AVEVA PI tags + AF Unified Namespace context on the graph
structure · industrial ontology · live
Sources: swarmCORTEX V9.2 / V10 evidence (paired-seed simulation, p < 5×10⁻⁵); AVEVA PI data plane commit 280420a. Simulation is always labelled simulated. No field claims. Method, numbers and the live system: after your NDA.
Also from Systown
One measured world. Two products.
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