Freedom Robotics

Start by connecting your fleet and infrastructure in one place. Install the lightweight agent or use the SDK to register each robot, tag it by site and role, and map it to your cloud resources. Create a workspace for ops, one for engineering, and another for support so each team sees what matters. Pick the signals you care about—health, sensors, compute, network—and pin them to live panels. Set thresholds and routing for alerts, add uptime and SLA checks for critical routes, and define data retention. If you manage busy networks, turn on bandwidth and server watchers, IP tracking, and scheduled traffic reports so you can catch congestion or misconfiguration before robots go dark.

In day-to-day operations, open the command center to watch the fleet at a glance. Click any unit to drill into live streams: camera frames, lidar plots, CPU/thermal charts, or link quality. Use the time scrubber to jump back seconds or hours to see exactly what a robot saw when an event occurred. Compare current behavior to a saved baseline to spot drift. When a field unit needs help, request control with safety guardrails, pilot from your browser with rate limits and E-stops, and hand off to a colleague without losing context. Every session is recorded for audit and shared securely with role-based access.

For developers, flip to the event explorer to correlate topics, logs, and metrics across nodes. Filter by robot, firmware, or map region; add annotations; and export a time-synced trace to your issue tracker. Build custom tiles with the API to visualize proprietary sensors, or stream structured data to your warehouse for long-term analysis. Wire up webhooks to trigger tests, start captures, or roll logs when anomalies hit. Try new behaviors in shadow mode, roll them out to a small percentage, and watch key indicators in real time. If anything regresses, automated rollback restores the prior version. Version history, diffs, and release notes keep your CI/CD pipeline clean and traceable.

Data and support teams use the same timeline to turn operations into insight. Query the entire fleet, slice by model, geography, or software build, and export windows around labeled events to build training sets. Push batches to your labeling tool, then re-import results to compare model performance before and after deployment. Generate weekly SLA and traffic summaries, write incident reports with embedded replays, and plan phased rollouts based on capacity and resource usage. Built-in diagnostics help isolate network abuse and IP conflicts, while baselines define expected ranges for motion, latency, and success rates. Share a read-only link with a customer or partner that expires automatically, and track views for compliance.