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https://github.com/ruvnet/RuVector.git
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85447c0bfc
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
42 lines
1.8 KiB
Rust
42 lines
1.8 KiB
Rust
/// RuVector Cognitive Robotics Examples
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///
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/// Each example demonstrates a distinct robotics capability built on top of
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/// the unified ruvector-robotics crate.
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///
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/// Run any example with:
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///
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/// cargo run --bin <example_name>
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fn main() {
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println!("==========================================================");
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println!(" RuVector Cognitive Robotics Examples");
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println!("==========================================================");
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println!();
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println!("Available examples:");
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println!();
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println!(" PRACTICAL");
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println!(" ---------");
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println!(" 01_basic_perception Point cloud creation, kNN and radius search");
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println!(" 02_obstacle_avoidance Detect obstacles, classify, compute distances");
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println!(" 03_scene_graph Build scene graphs, compute edges, merge scenes");
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println!();
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println!(" INTERMEDIATE");
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println!(" ------------");
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println!(" 04_behavior_tree Patrol behavior tree with status transitions");
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println!(" 05_cognitive_robot Perceive-think-act-learn cognitive loop");
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println!(" 06_swarm_coordination Multi-robot task assignment and formations");
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println!();
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println!(" ADVANCED");
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println!(" --------");
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println!(" 07_skill_learning Learn skills from demos, execute, improve");
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println!(" 08_world_model Occupancy grid, object tracking, path clearance");
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println!(" 09_mcp_tools MCP tool registry and JSON schema generation");
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println!();
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println!(" FULL SYSTEM");
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println!(" -----------");
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println!(" 10_full_pipeline Sensor -> Perception -> Cognition -> Action");
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println!();
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println!("Run an example:");
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println!(" cargo run --bin 01_basic_perception");
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println!(" cargo run --bin 10_full_pipeline");
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println!();
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}
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