19 lines
970 B
Markdown
19 lines
970 B
Markdown
# NeuPlan MVP
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This repository contains a minimal, production-oriented scaffold for a neuromorphic planning
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stack intended for onboard autonomous planning in space robotics contexts. The MVP focuses on
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providing a DSL, a toy neuromorphic intermediate representation (N-IR), a backend shim, and a
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deterministic onboard runtime that can be extended to real neuromorphic hardware.
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Highlights
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- DSL for LocalProblem, PlanDelta, and SharedVariables
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- Toy translation to N-IR suitable for testing and integration
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- Loihi-like backend shim with deterministic latency/energy model
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- Onboard runtime to execute planning within strict budgets
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- Basic tests ensuring end-to-end flow and a minimal demo CLI
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Installation and testing
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- Run: ./test.sh (requires Python 3.9+ and build tools; creates a virtual environment automatically during build)
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This is an early-stage MVP; expect to see iterative improvements with governance, safety, and HIL features in subsequent iterations.
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