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Consolidates robotics functionality into a single crate with four modules: - bridge: Core types (Point3D, PointCloud, RobotState, Pose), spatial indexing, distance metrics, sensor converters, and perception pipeline - perception: Scene graph construction, obstacle detection/classification, anomaly detection, trajectory prediction, and attention focusing - cognitive: Behavior trees, perceive-think-act-learn loop, multi-criteria decision engine, three-tier memory system, skill learning from demonstration, swarm coordination with formations/consensus, and world model tracking - mcp: Tool registry with 15 registered tools across 6 categories Includes 26 passing tests (10 unit + 15 integration + 1 doc), 5 crate examples, 10 standalone binary examples, benchmarks covering 10 groups, and user guide. https://claude.ai/code/session_01H1GkTK5z9ppVVQDQukjBsY |
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