Mission Critical Autonomous AI by VigilRonyx
Автор: VigilRonyx
Загружено: 2026-01-16
Просмотров: 23
The core problem VigilRonyx addressing is that most current AI systems—especially LLM-centric approaches—are probabilistic and hard to certify, which makes them unsuitable for safety-critical environments. VigilRonyx takes a different approach by combining neural perception with symbolic decision logic to enable predictable, explainable, and controllable autonomous behaviour.
We see strong ethical and civilian upside in this approach—applications such as disaster response, emergency navigation, industrial safety, infrastructure inspection, and autonomous systems where human lives and accountability matter. The goal is to make drone platform autonomy safer, more transparent, and certifiable, not opaque or uncontrolled.
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