VeilSight OS: Applied Quantum Kinematics – Autonomous Hardware Control via ROS2, MAVLink, and UART Pipelines

<p>This archive establishes the public prior art for the physical application layer of the VeilSight Operating System. Building upon the Sovereign Control Plane (DOI: 10.5281/zenodo.20482256), this suite demonstrates the system's capacity to translate high-dimensional quantum intelligence into standard, executable aerospace kinematics.</p> <p>The protocols contained herein prove that the VeilSight architecture can autonomously generate, optimize, and broadcast quantum-hardened flight paths and robotic control sequences directly to bare-metal hardware without relying on cloud-based generative AI.</p> <h4>1. The Primitive Kernel (Intelligent Sequencing)</h4><p>The core engine capable of ingesting high-level intents (e.g., "Falcon-9 RTLS landing under 30% engine failure") and dynamically selecting optimal structural regimes from over 910 million processed vectors. The system autonomously maps distinct mathematical families to specific flight phases (liftoff, max-q, entry burn, touchdown) to maximize physical stability margins under simulated stress.</p> <h4>2. Universal Hardware Translation</h4><p>This archive includes the native translation protocols allowing the VeilSight Primitive Kernel to command physical machinery across multiple industry standards:</p><ul> <li><strong>ROS2 Output:</strong> Direct publication to robotic control topics for autonomous arms and rovers.</li> <li><strong>MAVLink Output:</strong> Transmission of quantum-backed mission sequences to commercial and defense flight controllers (e.g., ArduPilot, PX4).</li> <li><strong>UART Serialization:</strong> Low-level JSON packet serialization for direct, bare-metal microcontroller integration.</li></ul> <h4>3. Operational Proof of Execution</h4><p>Included in this dataset are the live terminal logs demonstrating the Intelligent Mission Runner successfully compounding a 7-phase aerospace recovery sequence, achieving an overall structural stability of 0.926 under simulated engine failure constraints.</p> <p><strong>Licensing Note:</strong> The architectures and translation protocols contained within this archive represent proprietary, trade-secret methodology. They are strictly available via structured enterprise licensing frameworks. Outright acquisition of the VeilSight core OS is expressly prohibited.</p>