Abstract

Field: Open standards certification; technology ecosystem governance; conformance testing architecture

Problem Solved: Open standards face a consistent adoption challenge: free specification but expensive certification creates a barrier disadvantaging smaller manufacturers. No prior robotics standard defines a certification model that explicitly separates free specification access from mark certification while defining graduated conformance classes accessible to implementations of varying capability and resource level.

Disclosure Summary: The AI Robot Mark certification model follows the Wi-Fi Alliance precedent — free specification, certified mark, conformance classes — applied to the AI robot ecosystem. Five RPnP™ certification profiles and three RP2P™ conformance classes define graduated entry points enabling any manufacturer at any capability level to participate in the certified ecosystem.

Key Technical Details:

•  Specification: freely available, no fee, no membership required

•  Mark certification: requires conformance testing against published specification

•  RPnP™ profiles: Core (L0–2), Full (L0–3), Safe (L0–4), AI Compatible (L0–5), P2P Complete (all seven)

•  RP2P™ classes: Class A (L0–3), Class B (L0–5), Class C (all seven layers)

•  Partial layer conformance within a profile does not qualify for certification

•  Certification fees set at cost-recovery level only

•  AI Robot Test Lab administers conformance testing under Foundation-defined protocols

Prior Art Differentiation: Wi-Fi Alliance, Bluetooth SIG, and USB-IF define certification models for their respective standards. No prior robotics standard defines a graduated multi-profile, multi-class certification model covering hardware, firmware, safety, AI compatibility, and network cooperation simultaneously under a single mark.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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