Fleet Intelligence
The fleet-intelligence cognition layer (T5 — Operate): fleet-wide telemetry collection, operational dashboards, drift detection, and retraining triggers across a fleet of deployed robots. "Fleet" means a fleet of robots, not Kubernetes clusters. This is the cognition layer that sits above the implemented fleet-delivery control plane (T4).
WARNING
Roadmap / placeholder, not shipped. The fleet-intelligence domain ships 0 Python files and
design specifications only (4 placeholder specs). Everything below describes intended capability,
not working code. Treat this domain as a roadmap direction, not an available feature. For the
canonical tier model, the autonomy ladder, and fleet vocabulary, see
tier-model.md.
Human-in-the-loop is the default; closed-loop retraining is a foot-gun. Fully autonomous retraining on production data can bake current degraded behavior into the next dataset, and drift detection needs statistical power that only exists at fleet scale. Fleet intelligence should default to human-supervised stages (T5.0–T5.1), not the autonomous closed loop (T5.3). See the autonomy ladder.
📋 Prerequisites
| Requirement | Purpose |
|---|---|
| Azure IoT Operations | Edge telemetry collection and MQTT brokering |
| Azure Event Hubs | Cloud telemetry ingestion |
| Grafana | Fleet operational dashboards |
| Microsoft Fabric | Real-Time Intelligence KQL analytics |
🏗️ Architecture
| Layer | Component | Description |
|---|---|---|
| Edge | Telemetry Agent | Collects inference metrics and health data on each robot |
| Transport | IoT Operations | MQTT broker and edge-to-cloud routing |
| Ingestion | Event Hubs | Cloud endpoint for partitioned telemetry streams |
| Analytics | Fabric RTI | KQL queries for fleet-wide trend analysis |
| Visualization | Grafana | Real-time dashboards and alert rules |
| Automation | Drift Detection | Statistical monitoring for policy degradation |
| Automation | Retraining Triggers | Automated training pipeline initiation |
📖 Related Documentation
| Guide | Description |
|---|---|
| Telemetry Specification | Schema and routing architecture |
| Dashboard Specification | Fleet dashboard and alerting design |
| Drift Detection Specification | Detection algorithms and thresholds |
| Retraining Specification | Automated retraining trigger pipeline |