How does it ensure safety in physical environments?

The framework implements volumetric safety boundaries, real-time monitoring loops, and the Genesis Protocol for cryptographic integrity of all physical actions.

Can I use this with Augmented Reality (AR) devices?

Absolutely, it is designed to work with AR systems like the Meta Quest 3 to provide real-time data overlays and spatial coordinate transformations.

What is the IRP Embodiment Framework?

It is a Claude Code skill that bridges high-level AI reasoning with physical hardware like robots and sensors using the Intelligent Response Protocol to ensure secure and efficient communication.

Is my physical data processed in the cloud?

No, the framework is designed for maximum sovereignty, supporting air-gapped local processing on hardware like the Mac Studio to maintain data privacy and integrity.

Does this support real-time robotics control?

Yes, it includes a dedicated ROS2 bridge and support for PREEMPT_RT kernels to handle safety-critical latencies, allowing for reflexes under 10ms.

IRP Embodiment Framework

Name: IRP Embodiment Framework
Author: starwreckntx

bystarwreckntx

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Data Science & ML

Connects Claude's cognitive orchestration to physical robotics and sensor systems using low-latency control and cryptographic integrity.

About

The IRP Embodiment Framework serves as a specialized bridge between high-level AI reasoning and real-world physical systems, enabling Claude to interact with humanoid robotics, AR overlays, and industrial sensors. By integrating the Intelligent Response Protocol (IRP) with ROS2 and real-time sensor fusion, it provides a secure, air-gapped environment for translating cognitive intent into precise physical actions. It is essential for developers building safety-critical systems that require sub-50ms latency, sovereign data processing, and multi-modal sensor validation within a local infrastructure.

Key Features

Multi-sensor fusion for real-time ingestion of acoustic, thermal, weight, and visual data.
1 GitHub stars
Semantic bridging between cognitive XML/JSON commands and ROS2 control messages.
Native support for humanoid robotics, AR systems, and industrial sensor networks.
Real-time safety boundary enforcement with automated fail-safe degradation protocols.
Cryptographic Genesis Protocol validation ensuring local sovereignty and action integrity.

Use Cases

Managing high-risk foundry operations with automated safety halts based on sensor anomalies.
Orchestrating humanoid robot movements with sub-10ms reflex loops and sensor feedback.
Visualizing industrial telemetry through real-time AR overlays for human operators.

About

Key Features

Multi-sensor fusion for real-time ingestion of acoustic, thermal, weight, and visual data.
1 GitHub stars
Semantic bridging between cognitive XML/JSON commands and ROS2 control messages.
Native support for humanoid robotics, AR systems, and industrial sensor networks.
Real-time safety boundary enforcement with automated fail-safe degradation protocols.
Cryptographic Genesis Protocol validation ensuring local sovereignty and action integrity.

Use Cases

Managing high-risk foundry operations with automated safety halts based on sensor anomalies.
Orchestrating humanoid robot movements with sub-10ms reflex loops and sensor feedback.
Visualizing industrial telemetry through real-time AR overlays for human operators.