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A pilot acceptance plan for robotics data
Write acceptance, source-aware split boundaries and rework rules before expanding a robotics collection.
Published 2026-10-27 · 5 min read
| Question | Evidence or decision |
|---|---|
| Scope | Coverage matrix, configuration and known exclusions |
| Evidence | File loading, geometry, timing, labels and permissions status |
| Splits | Grouping rule and source IDs |
| Decision | Review findings, accepted quantity, rework and scale gate |
A pilot should answer whether a proposed capture and delivery can meet the actual project, not just whether a short clip looks plausible. Define the tested scope, evidence, decision rules and next-step gate before asking collectors to scale.
The downloadable acceptance template is a blank planning aid. It is not an approved Fiund specification, a sample acceptance result or a guarantee that material will pass. Set task-specific limits with the buyer.
Select representative coverage
Create a matrix of actions, objects, settings, operators and sensor configurations relevant to the requirement. Include known difficult cases and partial failures. A demonstration selected only because it looks clean cannot establish the rejection rate of a broader collection.
State what the pilot does not cover. Do not extrapolate one site, camera or task into a validated full program. Record configuration changes so decisions apply to the tested version.
Define technical and documentation checks
List required files, stream roles, timestamps, calibration references, labels and schema versions. Confirm that the package loads into the intended workflow and its source links resolve. Separate playback success from technical suitability.
For every criterion, record the method, actual result, threshold where applicable, reviewer and decision. Mark not tested separately from passed. Permissions and commercial conditions need their own review rather than being inferred from a technical pass.
Keep evaluation sources separate
Decide grouping for sessions, operators, objects or sites before creating training and evaluation subsets. Related frames, derivatives and repeated takes can leak context across a split if divided randomly without source awareness.
Document split identifiers and the intended generalization test. There is no universal grouping rule for every experiment; explain the choice. Preserve source IDs so later added data can be reconciled with the original boundary.
Agree acceptance and rework outcomes
Define accepted, partially accepted, correction required and rejected outcomes. State who approves the buyer’s purchase scope, who resolves disputed findings and who bears correction or recapture costs under the project agreement. This is buyer acceptance, not a per-deal contributor veto.
Reconcile accepted quantities with the quoted unit. Stop expansion until the named pilot conditions close. A successful upload or an assessment submission does not mean a commissioned project, accepted delivery or payable invoice.
Frequently asked questions
Does a pilot pass guarantee model performance?
No. It establishes the agreed review results for the tested scope, not general training outcomes.
Can not-tested criteria be labeled passed?
No. Keep unresolved checks explicit before scaling.