Introduction: QERRA-v2 — Hybrid Quantum-Ethical Safety Layer for Humanoid Robots

Marussa Metocharaki, operating as @marunigno, has independently developed and released QERRA-v2, an ambitious open-source framework designed to embed ethical reasoning into humanoid robots and high-stakes AI systems. The project's core innovation is its hybrid architecture, which merges a quantum-inspired exploration layer—successfully tested on real IBM quantum hardware using an 8-qubit W-state—with a classical safety stack. This classical component includes established ethical vector models (SEMEV-12) and toxicity detection modules. Currently, the system is operational via a public API with a working `/analyze` endpoint, though Metocharaki notes the quantum layer remains a prototype under active development.

Built entirely by a solo founder, QERRA-v2 represents a grassroots effort to address a critical gap in robotics: provable safety. The full whitepaper and code are publicly available under the AGPL-3.0 license, inviting collaboration from the robotics and AI safety communities. The project's goal is to create a decision-making 'safety kernel' that can evaluate and constrain robot actions in real-time, preventing physical harm or ethical violations. By open-sourcing the work, Metocharaki hopes to accelerate development and establish foundational safety protocols for the next generation of autonomous systems that will operate alongside humans.