ruvector/crates/agentic-robotics-benchmarks/Cargo.toml
Claude b8bfec329b 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
2026-02-27 02:54:01 +00:00

28 lines
712 B
TOML

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