Short answer
Robotics data license terms should establish who can grant the rights, which uses are permitted, who owns derived annotations, poses, trajectories and model weights, the field of use and exclusivity, who else may access the data, and what must be retained or deleted. They must also carry consent and third-party restrictions through to the buyer. These are diligence and negotiation topics, not legal conclusions.
This is not legal advice. Use this page to prepare questions for your counsel and the licensor.
Why robotics data needs more than a standard data license
Many general AI data licenses were written with text and tabular records in mind. Robotics programs create things those licenses do not anticipate. A team that licenses workplace video may extract 3D hand poses, retarget them into robot trajectories, build simulation assets from scanned objects, train world models that generate new video, and ship model weights inside physical products sold to third parties. Each of those is a use or a derivative that the license should name.
Recorded physical work also carries other people's rights. Workers and bystanders appear on camera; client goods, screens and branded products appear in frame; vendor-produced courses sit inside training libraries. A license is only as good as the licensor's ability to grant it. The general concepts are explained in SourceX's guide to license terms; this page covers the robotics-specific layer.
Clause topics and what they mean for robotics data
| Clause topic | Robotics-specific question | What to look for |
|---|---|---|
| Grant and chain of title | Does the licensor own or control every item, including vendor-made video, client goods and equipment-maker manuals? | A warranty of title and an exclusions list |
| Permitted uses | Are pretraining, fine-tuning, evaluation, benchmarking, simulation-asset creation and synthetic-data generation each allowed? | An explicit list, not "AI purposes" |
| Derived data | Who owns annotations, segmentation masks, hand poses, retargeted trajectories and cleaned clips? | Ownership and survival after the term ends |
| Model weights and outputs | May weights trained on the data ship in robots sold to customers, go to partners or be open-sourced? | Separate treatment of weights, outputs and data |
| Field of use and exclusivity | Is use limited to humanoids, to one robot model, or to a task domain? | A field-of-use definition that survives hardware changes |
| Access and sublicensing | Can annotation vendors, cloud providers, affiliates and research collaborators handle the data? | Named categories of permitted sublicensees |
| Term, retention and deletion | What must be deleted at the end, and do trained weights count? | Deletion scope, certificates, survival clauses |
| People in the data | Does the consent or notice behind the recordings cover this license's uses? | Consent scope matching license scope; withdrawal handling |
| Third-party content and confidentiality | Who handles logos, screens, documents and client goods in frame? | Representations, redaction duties, takedown process |
| Publication | May you publish benchmark results or sample frames in papers? | A publication clause with review rights if needed |
| Security, audit and delivery | Where may the data be stored, and is acceptance a condition of payment? | Storage rules, audit rights, acceptance tests |
Three of these deserve their own pages: model weights, derivatives and redistribution, exclusivity and field-of-use terms, and retention, deletion and audit rights.
Who can grant what
| Asset | Who usually holds the rights | What to confirm |
|---|---|---|
| Employer-recorded workplace video | The business, subject to what workers were told and agreed | Notices, consent scope, withdrawal |
| Vendor-produced training courses | The course vendor | Vendor license terms; whether the business may sublicense |
| 3PL footage showing client goods | The 3PL for the footage; clients for their products and order data | Client contract clauses on images and data |
| Equipment-maker service manuals | The equipment maker | Written permission or the maker as licensor |
| Product photographs | Photographer, agency or brand, unless assigned | Photo licenses per image set |
| Public research datasets | The authors, under the stated license | The license text for each dataset |
Public datasets show how much terms vary. MVTec AD is licensed CC BY-NC-SA 4.0, which excludes commercial use (Bergmann et al., 2021). CaptainCook4D is released under Apache 2.0 (Peddi et al., 2023). Google Scanned Objects assets are released under a Creative Commons license, CC-BY 4.0 according to a redistribution page (Downs et al., 2022). Check each one; see public dataset commercial license checks. For warehouse footage, client-owned inventory rights covers the 3PL case in detail.
Robotics-specific traps
- Synthetic data and world models. If you generate trajectories or video from licensed data, say whether the outputs are derivatives, who owns them, and whether they survive termination.
- Hardware-bound grants. A field of use tied to one robot model can lapse when you change hardware. Define the field by task domain or embodiment class instead, if the licensor agrees.
- Simulation assets. Meshes and textures built from licensed scans or CAD may be redistributable in a simulator only if the license says so.
- Weights in products. Shipping weights on robots sold to customers may be treated as distributing a derivative. Make sure the license addresses it directly.
- Copyright uncertainty. Public debate about training on copyrighted material continues. The US Copyright Office's report on generative AI training, released in pre-publication form in May 2025, analyzes fair use and examines licensing options (U.S. Copyright Office, 2025). Express permission for each intended use avoids depending on how that debate is resolved.
- Personal data abroad. If you or your contractors process the data in the EU, ask counsel how the GDPR applies to personal data in the footage; it treats biometric data processed to uniquely identify a person as a special category under Article 9(1) (European Parliament and Council of the EU, 2016). See EU AI Act and GDPR considerations.
Redaction does not settle the personal-data question. Blurring faces changes what is identifiable; it does not grant permissions that were never obtained. Whether the notice or consent behind the recordings covers your uses and recipients is a diligence question of its own, set out in worker consent and identifiable people in workplace recordings.
Illustrative term sheet
# Illustrative only — synthetic parties and terms; not a SourceX template or legal document
licensor: supplier_S12 (US operator, 6 sites)
licensee: buyer_B03
data: workplace task video, 2024-2026, sites 01-06; excludes vendor courses V-1 to V-9
permitted_uses: [pretraining, fine_tuning, internal_evaluation, simulation_asset_creation]
not_permitted: [redistribution of raw video, re-identification of individuals, publication of frames without review]
derivatives: licensee owns annotations, hand poses, retargeted trajectories and model weights
weights_in_products: permitted for robots sold to licensee customers
field_of_use: humanoid and mobile-manipulation robots, all task domains
exclusivity: non-exclusive
access: annotation vendors and cloud hosts under confidentiality terms
people: operator consent register attached; withdrawn operators deleted within an agreed period
term: 5 years; deletion certificate for raw data at end; weights and derivatives survive
acceptance: delivery tests in schedule B must pass before payment
Delivery mechanics the license should reference
The license and the delivery plan should agree on format, transfer method, the manifest and checksums, the acceptance tests and what happens if a delivery fails them. Large video deliveries often move on encrypted drives or through cloud buckets; delivery and transfer of large datasets covers the mechanics.
Questions to ask suppliers
- Which items in the delivery were made by course vendors, clients, equipment makers or photographers, and are they excluded or separately licensed?
- Can you warrant title for everything not excluded, and what remedy applies if a third party claims otherwise?
- Will the license name pretraining, fine-tuning, evaluation, simulation-asset creation and synthetic-data generation as permitted uses?
- Who owns the annotations, hand poses, retargeted trajectories and model weights we derive, and do those rights survive termination?
- May weights trained on the data ship on robots we sell, and may we publish benchmark results and sample frames?
- How is the field of use defined, and does it survive a change of robot hardware?
- Which of our contractors, such as annotation vendors, cloud hosts and research collaborators, may handle the raw data?
- Does the notice or consent given to the people recorded cover these uses and recipients, and how will withdrawal requests reach us after delivery?
- What must be deleted at the end of the term, do trained weights count, and how is deletion certified?
Discuss your requirements
SourceX agrees pricing and allowed uses in a license with the supplier, and nothing is contracted until a supplier agrees. Tell SourceX which uses and derivatives you need licensed along with the data requirement; it checks the data and the supplier's licensing permissions and follows up about potential sources. A request does not guarantee a match. SourceX's licensing terms glossary defines the common terms. For the rest of the procurement sequence, see the procurement hub and the humanoid training data guide.
Explore sourcing and licensing options with SourceX
Sources
- The MVTec Anomaly Detection Dataset — example of a non-commercial dataset license.
- CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities — example of a permissively licensed dataset.
- Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items — example of Creative Commons licensed 3D assets.
- Copyright and Artificial Intelligence, Part 3: Generative AI Training (pre-publication version) — US Copyright Office analysis of fair use and licensing options for AI training.
- Regulation (EU) 2016/679 (General Data Protection Regulation) — biometric data as a special category.