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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
28 lines
712 B
TOML
28 lines
712 B
TOML
[package]
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name = "agentic-robotics-benchmarks"
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version.workspace = true
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edition.workspace = true
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authors.workspace = true
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license.workspace = true
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repository.workspace = true
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publish = false
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[dependencies]
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agentic-robotics-core = { path = "../agentic-robotics-core", version = "0.1.1" }
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agentic-robotics-rt = { path = "../agentic-robotics-rt", version = "0.1.1" }
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criterion = { version = "0.5", features = ["html_reports"] }
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tokio = { version = "1.40", features = ["full"] }
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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[[bench]]
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name = "message_serialization"
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harness = false
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[[bench]]
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name = "pubsub_latency"
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harness = false
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[[bench]]
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name = "executor_performance"
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harness = false
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