Claude
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85447c0bfc
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feat: Add unified ruvector-robotics crate with bridge, perception, cognitive, and MCP modules
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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2026-02-27 03:35:54 +00:00 |
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Claude
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b8bfec329b
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feat: Add agentic-robotics crates and SOTA integration research
Copy 6 agentic-robotics crates (core, rt, mcp, embedded, node, benchmarks)
into ruvector/crates/ for deep integration review. These provide:
- ROS3 pub/sub messaging with Zenoh middleware and CDR serialization
- Dual-runtime real-time executor with priority scheduling
- MCP 2025-11 server for AI tool exposure
- NAPI-RS Node.js bindings
- Criterion benchmark suite
Create comprehensive research documentation in docs/research/agentic-robotics/:
- README.md: SOTA integration analysis (889 lines)
- crate-review.md: Crate-by-crate deep code review (967 lines)
- architecture-synergy.md: Architecture compatibility analysis (555 lines)
- integration-roadmap.md: 18-week phased implementation plan (769 lines)
Key findings: 14/16 shared dependencies are version-compatible, both use
rkyv 0.8 for zero-copy serialization, identical build profiles, and
complementary (not overlapping) functionality. The combination creates a
unique cognitive robotics platform with sub-millisecond sensor-to-decision
latency, native vector search, GNN inference, and MCP tool exposure.
https://claude.ai/code/session_01H1GkTK5z9ppVVQDQukjBsY
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2026-02-27 02:54:01 +00:00 |
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