Upload README.md

README.md

@@ -38,7 +38,7 @@ short_description: "Multi-robot rescue with 7 NVIDIA AI products"
 
 MAELSTROM addresses a fundamental challenge in autonomous multi-robot systems: **how does a fleet coordinate rescue operations when each robot's world model is incomplete, noisy, and divergent from ground truth?**
 
-We present an end-to-end pipeline that fuses **Agentic AI language understanding** with **Physical AI perception under uncertainty**. NVIDIA Nemotron 3 Nano (30B params, 3.6B active, hybrid Mamba-Transformer MoE) translates natural language mission directives into sector-level priorities via `chat_completion` API. These priorities are then **injected as prior observations into each robot's Cosmos-style Bayesian belief state at step 0** — converting human language intelligence into fleet-wide physical awareness before a single sensor reading occurs.
+I present an end-to-end pipeline that fuses **Agentic AI language understanding** with **Physical AI perception under uncertainty**. NVIDIA Nemotron 3 Nano (30B params, 3.6B active, hybrid Mamba-Transformer MoE) translates natural language mission directives into sector-level priorities via `chat_completion` API. These priorities are then **injected as prior observations into each robot's Cosmos-style Bayesian belief state at step 0** — converting human language intelligence into fleet-wide physical awareness before a single sensor reading occurs.
 
 The system integrates **7 distinct NVIDIA products** — each performing real computational work in the pipeline — across a physically-grounded simulation with stochastic flood dynamics, noisy multi-modal sensors, hierarchical edge-to-cloud planning, online reinforcement learning, AI-powered content safety, and an Omniverse-style digital twin dashboard. A built-in **statistical inference engine** enables rigorous causal analysis of each NVIDIA technology's contribution via Welch's t-test, Cohen's d effect sizes, seed-controlled paired comparison, η² variance decomposition, confound detection, and power analysis.