Monitor health, missions, and OTA updates. Inspect sense–think–act–learn stages, safety constraints, and live telemetry. Train in simulation, export verified packages, and onboard hardware through structured intake.
From digital twins and scenario libraries to SIL-rated safety and fleet-wide coordination — aligned with the Midcore brain architecture.
Robot registry, coordination, mission timelines, and OTA deployment queues with health signals you can trust.
Transparent stages from perception through policy to motor output — with explainability hooks for operators.
Constraint monitoring, fault surfaces, e-stop flows, and release discipline for regulated environments.
Live streams, KPI dashboards, alerts, and time series for tuning and incident response.
Benchmark harnesses, scenario runs, and digital twins to validate before you touch hardware.
DRL-oriented training lifecycle with checkpoints, pause/resume, and exportable artifacts.
Templates, validation, and packaged exports so brain configs move cleanly across environments.
Scan, profile, and enhance device records so new robots join the fleet with consistent metadata.
In the field
From passive SAR localization to multi-UAV coverage in disasters and a published multiaxial fault dataset — see the full Midcore + NBU story and references.
Read the research story →Dedicated pages for fleet, brain, safety, simulation, and telemetry — same product vocabulary, without proprietary parameters.
A condensed view of the neural command loop — the same vocabulary you will see in the product.
Fusion
Sensing
Policy
Attend
Motor
Memory
Robotics routes through the same evidence-minded platform — gates, contracts, and passports where they apply to your deployment tier.
Architecture
Midcore stacks deterministic execution below adaptive intelligence — so "move fast" never means "skip proof." Expand each layer to see what you get.
Atomic I/O, model routing, offline enforcement, and runtime adapters.