Robot reliability software — OORB RunFP | OORB

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.

Local-first evidenceMCAP-backed runsYour release criteria
RUNFP / RUN COMPARISONILLUSTRATIVE
01 / BASELINEbaseline.mcappick-place
02 / CANDIDATEcandidate.mcappick-place
RECORDED SIGNALS
BaselineCandidate
Illustrative baseline and candidate signal traces, with a difference in the middle of the recording
Task label
pick-place Matched
Model identity
baseline → candidate Changed
Physical task outcome
Not supplied Not scored

A change to investigate. Review the recorded evidence against your task criteria.

Workflow illustration with example run evidence.

THE RUNFP WORKFLOW

From a recording
to a reviewable decision.

Keep the context. Inspect the changes. Choose the check that answers your release question.

01RUN PROVENANCE

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
02RUN COMPARISONS

See what changed before you ship.

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

Run comparisons
03RELEASE CHECKS

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 →
RUNFP / QUICKSTARTAFTER 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>
Use the episode IDs returned by capture.

WORK WITH YOUR EXISTING EVIDENCE

From recordings to your release workflow.

WHAT THE EVIDENCE MEANS

Know what your
result establishes.

Outcomes & confidence intervals →
01

A comparison pass Recorded evidence met the comparison criteria.

02

A task success rate Needs validated outcomes and a defined task.

03

State coverage & replay Describe observed variables and recorded behavior.

CHOOSE YOUR WORKFLOW

Start with the question
your team needs to answer.

START WITH ONE ROBOT TASK

Bring the runs.
Find the next useful check.

Request an OORB audit →