Short answer
Food safety and sanitation procedures describe what must not happen while food is handled: cross-contact, unsafe holding conditions, skipped cleaning and unwashed hands. As text they can ground a planner's constraints and supply test cases for rule violations. They contain no motion, force or perception data, and they cannot show how a robot should handle food or how a kitchen really behaves.
The buyer's problem
A planner that sequences kitchen or food-plant tasks from a recipe alone will happily pick up a raw item, then a ready-to-eat one, with the same gloves. Nothing in the task graph forbids it. The prohibitions live in food-safety documents, and they are written for human staff who already know why.
For a program targeting food service, prepared-food assembly or food manufacturing, those documents are often the most direct written source of hard constraints: the things a plan should not do regardless of how efficient it looks. This page covers how to source them. For the positive task structure, see recipes and food-prep procedures.
What the documents contain
Three families are worth separating, because suppliers hold them in different places and rights differ.
Hazard-control plans. HACCP-style plans typically identify process steps, hazards, control points with their limits, monitoring, corrective actions and verification records; confirm the actual structure from a supplier's sample. They are often owned by a quality or food-safety manager and may be specific to a product line and site.
Sanitation SOPs. These cover cleaning of surfaces, utensils and equipment: what chemical, in what order, with what verification. Many are close relatives of the housekeeping and cleaning SOPs, with food-contact surfaces and allergen changeovers added. Healthcare settings add infection-control rules of their own, which hospital environmental services procedures covers, and the two should not be merged into one constraint set.
Hygiene and handling rules. Handwashing triggers, glove and apron changes, temperature-holding rules, date-marking, allergen segregation and illness reporting. In US retail and food service, much of this may trace back to the FDA Food Code, which FDA publishes as model guidance for state and local authorities and retailers; jurisdictions adopt it voluntarily, so the rule a supplier follows depends on where it operates (FDA, Food Code 2022). Check which edition and which local adoption a supplier works under.
Turning prose into constraint data
Constraint data pairs a rule with a trigger and a consequence. Planners and verifiers can consume that; they cannot consume a paragraph.
The table is Illustrative: the rule texts and values are synthetic placeholders, not food-safety advice, and every limit would come from the supplier's own approved plan.
| Field | Illustrative example | Why it matters |
|---|---|---|
| rule_id | FS-site_011-007 | Stable reference for evaluation |
| trigger | "after handling item class RAW_A" | When the rule activates |
| constraint | "wash hands before touching class RTE_B" | What must hold afterward |
| violation_effect | "discard batch; log deviation" | What a failed step triggers |
| limit_source | "plan_limit: set by site plan" | Keeps numbers with the owner |
| verifier | "visual check by supervisor" | Who confirms in practice |
| scope | "line_3, allergen-controlled area" | Prevents over-generalizing |
Record the constraint at the granularity the plan states it. A rule written for a whole line, such as an allergen-controlled area, should not be split into per-step rules that the plan never made, because the planner then learns restrictions nobody wrote down.
Keep numeric limits as references to the plan rather than copying them across suppliers; a limit that is correct for one product and process is a violation for another.
What constraint text can support
- Grounding a language-model planner so it refuses or reorders plans that break a stated rule, in the way grounding LLM planners with SOPs describes.
- Building evaluation items that contain a deliberate violation and test whether the planner flags it; this pairs with preconditions and postconditions.
- Labeling which steps are safety-critical, as covered in safety-critical steps in procedures.
- Extracting handling constraints for materials, alongside safety data sheets as handling constraints.
What this data cannot support
Constraint text cannot teach a robot to handle food. Picking a soft, wet or irregular item without damaging it needs robot or teleoperation data with contact information; tracked human demonstration can help but does not replace it, and the procedures describe the rule and not the grasp. SOPs alone cannot train a humanoid's physical control.
Several further limits apply:
- Sanitation of the robot itself. A hygiene rule written for hands says nothing about whether a gripper can be cleaned, or what a washdown does to its sensors. That is a hardware and design question.
- Practice versus paper. An approved plan does not prove staff follow it. Monitoring logs and deviation records carry more of that evidence.
- Verification by perception. Knowing "no visible residue" is the criterion does not give you a detector for residue. That needs labeled images from the real surfaces.
- Regulatory sign-off. Training a model on food-safety text does not demonstrate that a robot or its operation meets any regulator's expectations. Whether and how food-safety rules apply to a robot in a given jurisdiction is a question for counsel and the relevant authority; this is not legal advice.
Quality and acceptance criteria
Set these before you request samples:
- Each rule has a recoverable trigger and an unambiguous prohibited state.
- Plans are labeled by product class, so you do not treat a pasteurized-product rule as universal.
- Superseded versions are marked; see SOP revision histories.
- Allergen and cross-contact rules are labeled separately from temperature and cleaning rules.
- A held-out set is split by site or operator, so the same plan template does not appear in both training and evaluation.
Permissions and provenance
Hazard analyses can be commercially sensitive: they may reveal recipes, process temperatures, suppliers and customer-specific requirements. A supplier may license the generic sanitation SOPs and withhold the hazard analysis. Documents may also embed text from a customer audit standard or a certification scheme, which the supplier cannot necessarily sublicense. This is not legal advice; ask the questions below and have counsel review the terms.
Questions to ask suppliers
- Which edition of the Food Code, or which state or local rules, do these documents implement?
- Are hazard analyses and critical limits included, or only the sanitation and hygiene SOPs?
- Are plans written per product line, per site, or as corporate templates copied across sites?
- Which sections incorporate customer, retailer or certification-scheme text?
- Are monitoring logs or corrective-action records available, so deviations can be paired with rules?
- Which allergen controls and changeover procedures are documented separately?
- Can proprietary temperatures, times and chemical names be replaced with references without losing the rule structure?
- Who internally signs off on licensing a food-safety plan?
Discuss your requirements
If food-handling constraints are part of your humanoid training data plan, describe the setting, product classes, document types and rights you need through a buyer request. SourceX reviews the requirement and follows up about potential sources; a request does not guarantee a match. SourceX's role is sourcing, rights review, licensing and delivery coordination, and any structuring is scoped case by case. For the wider picture, see the humanoid training-data section and the procedures hub.
Explore sourcing and licensing options with SourceX.
Sources
- Food Code 2022 — FDA model guidance for retail food safety, voluntarily adopted by jurisdictions.