How It Works
RobotOps sits between your robots and enterprise systems—standardizing telemetry, detecting anomalies, and triggering actions that raise uptime and throughput.
Architecture
We ingest mission logs, telemetry, and facility signals via open interfaces (REST, MQTT, OPC UA, VDA 5050). A unified data model powers dashboards, alerts, and rule-driven actions. Optional write-backs enable reroutes, charge windows, and priority changes.
- Streaming ingest with backpressure handling
- Unified schemas for robots, missions, exceptions, facilities
- Anomaly detection + rule engine for actions
- APIs & webhooks to your WMS/CMMS/BI tools
AI Explainability
Every alert and prediction includes a “why”—the top contributory signals and recent context. This helps operators trust automation and act faster.
- Contributing signals (e.g., battery SOC, temp, queue time)
- Recent history (last missions, charge cycles, exceptions)
- Confidence score and recommended action
- Audit trail for post-incident review
Example
Analyzing…
Deployment Overview
Cloud
Managed ingest, analytics, and APIs. Best for multi-site fleets.
On-Prem / Edge
Local buffering and processing; send summaries upstream.
Hybrid
Edge decisioning + cloud dashboards and BI export.
- Interfaces: REST, MQTT/AMQP, OPC UA, VDA 5050, webhooks, batch
- Data paths: real-time streams + historical backfill
- Write-backs: charge windows, route changes, mission priority