OORB RUNFP / ROBOT RELIABILITY SOFTWARE

Every run leaves evidence.
Make it useful.

OORB RunFP is local-first robot reliability software. It records run provenance, compares MCAP-backed episodes, and supports outcome-rate and regression checks so robotics teams can make release decisions from recorded evidence.

Available through OORB onboarding. Bring your robot task and existing run data.

RUNFP / EVIDENCE WORKFLOWLOCAL FIRST
01
Record

Telemetry + captured provenance

02
Compare

Baseline → candidate episode

03
Evaluate

Defined outcomes + release criteria

A TRACEABLE RUN. A REVIEWABLE DECISION.
01 / EVIDENCE

Keep the run and its context together.

Capture MCAP-backed episodes with available software, hardware, robotics, and model provenance. Trace recorded outcomes alongside workspace commits.

Run provenance →
02 / EVIDENCE

See what changed before you ship.

Compare baseline and candidate episodes. Inspect recorded environment and behavior differences with explicit, task-specific criteria.

Run comparisons →
03 / EVIDENCE

Make the release criteria explicit.

Report grouped outcomes with confidence intervals, inspect recorded state coverage, and gate new recordings against a named baseline.

Release checks →

A PRACTICAL FIRST WORKFLOW

Start with two recordings.
Build a baseline.

Initialize the robot project, import comparable runs under one label, then inspect the difference. Use the IDs returned by capture in the comparison command.

Follow the complete quickstart →
EXAMPLE / AFTER INSTALLATION
runfp init --name robot-evaluation --root .
runfp snapshot baseline.mcap --label pick-place
runfp snapshot candidate.mcap --label pick-place
runfp diff <baseline-id> <candidate-id>

WORK WITH YOUR EXISTING EVIDENCE

From recordings to your release workflow.

WHAT THE EVIDENCE MEANS

Set a clear boundary around every result.

A comparison pass means recorded evidence met comparison criteria. A task success rate needs validated outcomes. Recorded state coverage describes the variables observed, and Real2Sim currently supports observed replay. Each result stays scoped to the inputs, conditions, and criteria behind it.

Understand outcomes and confidence intervals →

START WITH ONE ROBOT TASK

Bring the runs.
Find the next useful check.

Request an OORB audit →