AI Agents and Multi-Robot SLAM: DARPA's Push in Automated Theorem Proving and GPS-Denied Navigation — E8 Intelligence Research

FINDING: DARPA's expMath program applies AI/LLM agents to open mathematical problems; Proof Council (eth-sri) is an open-source framework for automated theorem proving; DARPA SubT uses multi-robot SLAM in GPS-denied environments. | MATH: No explicit equations, constants, or ratios are stated in the provided abstracts. The only mathematical content is algorithmic: SLAM (Simultaneous Localization and Mapping) — typically involves pose-graph optimization, least-squares residuals, and covariance matrices; Proof Council likely uses formal proof search (e.g., Lean/Coq tactics, tree-search over proof states). | CONNECTION: None directly stated. However, SLAM in GPS-denied environments often relies on graph Laplacians and spectral methods — which connect to root systems (e.g., A_n lattices) and crystallographic symmetry in sensor network topology. Proof search over formal systems can exhibit symmetry-breaking heuristics, but no explicit golden-ratio or base-60 link is present in the provided t Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com