ISO 13482 and exoskeleton procurement: the questions to ask
What ISO 13482 does and does not tell you about an exoskeleton, and how to build a certification question set that survives review.
ExoSelect researchShowing English original
What ISO 13482 does and does not tell you about an exoskeleton, and how to build a certification question set that survives review.
ExoSelect researchShowing English original
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Quick answer. What ISO 13482 does and does not tell you about an exoskeleton, and how to build a certification question set that survives review.
ISO 13482 is the international standard for personal care robots, including wearable physical assistant robots. It is frequently cited in exoskeleton marketing, but citing a standard is not the same as demonstrating conformity to it.
The standard addresses safety requirements for personal care robots, including physical assistant robots that support a user's body. It considers hazards such as unintended motion, loss of stability, ergonomic stress and inadequate user information.
ISO 13482 is not a medical device standard. It does not establish clinical efficacy, and it does not replace ISO 13485 quality management for medical devices or IEC 60601-1 for medical electrical equipment. A workplace exoskeleton may also fall under machinery or PPE legislation depending on its function and claims.
A certificate can be valid for a defined intended use that differs from your deployment. If the device is certified for supervised industrial tasks, it may not be appropriate for unsupervised consumer use. Match the intended-use statement to the actual task, environment and user population.
Our dossiers record certification and standards claims with their source status. Where a claim cannot be verified, it is marked not disclosed or unknown — not promoted to a fact. Browse the index to see how that looks in practice.
An exoskeleton analysis is only useful if it changes what a buyer does next. The purpose of a dossier is not to declare a winner in the abstract, but to make the next conversation more specific: which task, which users, which environment, which constraints and which evidence is still missing.
The first step is to translate the task into a written requirement. Describe the posture, load, repetition, duration, reach height, floor surface and clothing. Add the practical constraints that decide adoption: donning time, heat, tool clearance, cleaning and storage. A system that performs well in a demonstration but interferes with the actual workflow will not be worn after the pilot team leaves.
The second step is to separate the system from the deployment. A device can be well engineered and still fail because the service network is thin, the training is inadequate or the spare-parts lead time is measured in months. Ask for the service model in writing, including response time, replacement units and the cost of consumables.
Data quality should be scored explicitly. A dossier that publishes weight, runtime, user limits and certification scope is easier to pilot than one that leaves those values unknown. Missing values are not automatically disqualifying, but they are a cost: someone has to resolve them before a purchase order, and that work belongs in the project plan.
Use the product index to narrow the field by category, drive type, weight, runtime and region. Treat the filters as a way to structure the question, not as a substitute for reading the parameter states. A system that disappears from a weight band because its weight is not disclosed is telling you something about the dossier.
Place the shortlisted systems side by side in the comparison tool and focus on the rows where they diverge. Differences are useful; similarities are useful too. If two systems are identical on the parameters that matter, the decision may turn on service, fit or commercial terms rather than engineering.
Check the manufacturer profile for verification level, product line and company documentation. A maker with a clear primary source for each claim is easier to audit than one whose brochure is the only available reference. Where a claim matters to safety, ask for the declaration of conformity and the technical file summary.
Finally, write the brief. Include the task, environment, user profile, deployment volume, region and budget range. A good brief lets the research desk separate sourced values from open questions, so the next conversation starts with evidence rather than a demonstration.
Training is part of the system, not an afterthought. Ask who delivers the first session, how competency is assessed and what happens when a new operator joins the team. A device that requires a specialist to fit it every morning has a different operating cost from one that a trained supervisor can deploy independently.
Keep a decision log beside the shortlist. Record what was verified, what was assumed and who owns each open question. When the recommendation goes to a capital committee, the log is often more persuasive than another product demonstration because it shows exactly which risks have been retired.
Send the requirement when the shortlist is ready. The response should make the gaps visible, not hide them behind a polished recommendation. That is the standard this index is built to support.
Start with the intended use, the certification scope and the service model. Those three items decide whether a system can be deployed, not just demonstrated.
No. Published parameters support shortlisting, but fit, comfort, training quality and local service response require a structured evaluation with the intended users.
Missing values are recorded as Unknown or Not disclosed and are never inferred from a similar product. Each dossier shows the date of the last update and links to its primary sources.
Editorial note
Diese Analyse basiert auf veröffentlichten Spezifikationen und benannten Quellen. Es wurde keine eigene physische Bewertung durchgeführt.
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