Abstract

Field: AI robot architecture; hardware compatibility standards; AI mode management

Problem Solved: No prior hardware compatibility standard defines how a robot declares, manages, and transitions between on-device Local AI inference and cloud-dependent General AI inference at the hardware layer. Without this declaration, interoperating systems cannot know whether a robot will maintain safety-critical functions if network connectivity is lost.

Disclosure Summary: Layer 5 of the RPnP™ stack defines the AI Compatibility Layer — the first open standard layer for Local AI and General AI coexistence, mode declaration, and behavior-consistency signaling within one robot platform. It defines hardware pins, register formats, and API functions for declaring AI mode, managing handoff between AI sources, and enforcing privacy boundaries at the hardware level.

Key Technical Details:

• AI Mode Declaration register: 32-bit value at Layer 5A declaring Local AI capability, General AI dependency, and offline operational capability percentage

• Hardware pins 23 (Type-A) and 39–40 (Type-B) carry AI mode signals; Type-B supports four hardware states: local/general/hybrid/off

• Privacy boundary pins 41–42 (Type-B) enforce Layer 5C data classification at hardware level

• rpnp_ai_mode_declare() and rpnp_ai_handoff() are normative HAL API functions

• Offline operational percentage declared in both Layer 0 mDNS beacon and Layer 5 register

• AI handoff protocol defines safe transition between Local AI and General AI with context transfer

Prior Art Differentiation: No prior hardware compatibility or plug-and-play standard defines a hardware-level AI mode declaration, coexistence, or handoff mechanism. ROS2 HAL defines firmware interfaces but does not address AI source declaration or Local/General AI coexistence at the hardware layer.

Creative Commons License

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

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