Prometheus-Nexus transforms standard robotics control into an intelligent, adaptive "Hive Mind." In scenarios like disaster relief or automated logistics, controlling individual robots manually is inefficient and prone to error. Our system solves this by empowering a single human operator to issue high-level strategic commands—such as "Secure the perimeter" or "Distribute supplies"—which the Nexus Brain autonomously translates into coordinated vector movements for the entire fleet. At its core, Prometheus-Nexus leverages Google's Gemini 2.0 Flash for true spatial reasoning. Unlike traditional heuristic controllers, our agent understands the semantic context of the grid, allowing it to navigate dynamic obstacles and optimize pathfinding in real-time. We integrated Qdrant as a "Spatial Memory" module, enabling the fleet to persistently learn from collision events and adapt future routes without requiring code updates. The system features a deployment-ready "Orbital Command" dashboard (built with Streamlit) that provides a real-time "God's Eye View" of the operation. It visualizes the grid state, tracks robot positions, and exposes the AI's decision-making process via a transparent "Neural Feed." This project bridges the gap between Large Language Models and physical control systems, demonstrating the future of collaborative autonomous agents.
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