SEPH-Driven Robotics and Space Systems: A Unified Information–Material Architecture

This document introduces a unified architecture combining the SEPH Kernel (Λ–Φ–H–CFR information-dynamics model), the Smart Layer SL² adaptive metamaterial surface, and the ØRPHIN resonant logic processor. Together, these components create a three-layer information → material → computation framework intended to increase stability, reduce drift, and enhance autonomous performance in robotics and aerospace systems. The paper provides: a formal mathematical foundation for information-dynamics using Λ-stability, Φ-orientation fields, historical reachability (H), and resonant correction (CFR); an architectural description linking SEPH Kernel with Smart Layer SL² and ØRPHIN Chip into a closed-loop stability system; applications and theoretical justification for stability-driven control in robotic manipulation, locomotion, swarm coordination, spacecraft navigation, and microgravity operations; extended use-case scenarios demonstrating how the architecture mitigates cumulative error, vibration, instability, and computational load; and a minimal ROS2 simulation illustrating real-time Λ-stability tracking and CFR-based drift suppression. The document is intended as a conceptual and theoretical reference for researchers exploring alternative control paradigms, information-dynamics approaches, stability-driven autonomy, or material-integrated computation systems.