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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
41 lines
936 B
TOML
41 lines
936 B
TOML
[package]
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name = "ruvector-robotics-examples"
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version = "0.1.0"
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edition = "2021"
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publish = false
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[dependencies]
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ruvector-robotics = { path = "../../crates/ruvector-robotics" }
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serde_json = "1.0"
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rand = "0.8"
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[[bin]]
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name = "01_basic_perception"
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path = "src/bin/01_basic_perception.rs"
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[[bin]]
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name = "02_obstacle_avoidance"
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path = "src/bin/02_obstacle_avoidance.rs"
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[[bin]]
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name = "03_scene_graph"
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path = "src/bin/03_scene_graph.rs"
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[[bin]]
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name = "04_behavior_tree"
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path = "src/bin/04_behavior_tree.rs"
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[[bin]]
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name = "05_cognitive_robot"
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path = "src/bin/05_cognitive_robot.rs"
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[[bin]]
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name = "06_swarm_coordination"
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path = "src/bin/06_swarm_coordination.rs"
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[[bin]]
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name = "07_skill_learning"
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path = "src/bin/07_skill_learning.rs"
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[[bin]]
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name = "08_world_model"
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path = "src/bin/08_world_model.rs"
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[[bin]]
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name = "09_mcp_tools"
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path = "src/bin/09_mcp_tools.rs"
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[[bin]]
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name = "10_full_pipeline"
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path = "src/bin/10_full_pipeline.rs"
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