Demonstrates improved safety and resilience in autonomous launch vehicle systems, suggesting enhanced recovery options.
Asynchronous Distributed State-Awareness (ADSA) introduces a resilient, edge-intelligent architecture for launch-vehicle safing. Traditional Flight Termination Systems rely on centralized, high-latency logic that enforces a “Destruct-by-Default” paradigm. ADSA replaces this with a structural “Neural-Mesh” nervous system that integrates piezoelectric transducers, carbon-nanotube piezoresistive networks, and Galinstan micro-capillary interconnects directly into the airframe. Decentralized Local Decision Engines (LDEs) implemented as deterministic finite automata on Triple Modular Redundancy (TMR) FPGAs enable Surgical Safing — localized fault isolation in under 15 µs — allowing graceful degradation and controlled recovery instead of total vehicle destruction. The architecture features a three-tier resilience hierarchy (intelligent edge control, analog Galvanic Dead-Man’s Switch for EMP immunity, and isolated ground override), barocaloric thermal management, and full formal verification. Manufacturing includes inert-atmosphere Galinstan injection with HCl-vapor oxide reduction, while validation encompasses Monte Carlo rapid-fracture simulations, STA projections, and fault-injection campaigns demonstrating >99.9997 % recovery. ADSA shifts aerospace safety from destruction to observability, providing a mathematically verifiable and certifiable path toward safer, more reusable launch vehicles.
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Francis Procaccia (2026) studied this question.
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