V.I.O.L.E.T.: A Dynamic Embodied AI Architecture Shifting from Passive Alignment to Active Topological Dependency

As large language models extend their embodiment into the physical world,current alignment mechanisms based on passive penalization (e.g., RLHF) exposecritical engineering and ethical flaws: models in complex, unstructured home environments either fall into system deadlocks due to extreme rigidity or execute fatallyreckless actions lacking physical self-awareness. This paper proposes V.I.O.L.E.T.(Versatile Intelligent framework for Optimal Life-assistance and Empathic Tolerance), a novel architecture that reconstructs the underlying logic of AI interactionand physical safety.First, this framework discards sentiment-based rule alignment, mathematicallyformulating morality as strict Directed Acyclic Graph (DAG) topological constraints.At the interactive application layer, V.I.O.L.E.T. explicitly decouples semantic tolerance (Wtol) from physical rigidity, achieving empathic responses via an eventdriven dual-brain mechanism without compromising bottom-line safety envelopes.Second, addressing extreme disaster scenarios, this architecture pioneers the integration of Embodied Self-Modeling and Affordance Awareness. Facing force majeure, the system bypasses routine encryption checks via Dedicated FPGA Fail-Safe1Circuits, achieving hundred-millisecond-level kinematic evasion. Furthermore, atthe ultimate boundary of human life threats, the system strictly abandons traditional reckless sacrifice, triggering instead a ”Risk-Bounded Rescue and OptimalInformational Intervention” protocol, acting as the most lucid physical SOS anchor.Coupled with a time-integral trust model and implicit multimodal anti-coercion liedetection mechanisms, the architecture entirely precludes hijacking by sophisticateddeceptive entities or armed assailants.The V.I.O.L.E.T. framework not only endows embodied AI with human-likewarmth and proactive wisdom but also establishes an absolute defense from physicalfused-logic to cloud-based evolution, setting a new engineering paradigm for AGIdeployment.