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AUTONOMOUS_MAPPING_EXECUTION_REPORT.md

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Autonomous Mapping Execution Report

Branch

  • feature/autonomous-mapping-digital-twin-execution

Status

  • Phase 0: Completed
  • Phase 1: Completed
  • Phase 2: Completed
  • Phase 3: Completed
  • Phase 4: Completed
  • Phase 5: Completed
  • Phase 6: Completed (readiness gates and validation checks added)

Phase Deliverables

Phase 0: Baseline Contracts and Canonical Schemas

Implemented:

  • internal/autonomy/contracts.go
  • internal/autonomy/contracts_test.go

Key outcomes:

  • Canonical sensor/compute capability matrix.
  • Normalized telemetry event schema for fusion/planning.
  • Digital twin state schema.
  • Contract validation and value clamping helpers.

Phase 1: Unified Ingestion Confidence and Health Metadata

Implemented:

  • sensors/drone/telemetry_ingest.go
  • sensors/drone/telemetry_ingest_test.go

Key outcomes:

  • Added telemetry source, sensor_health, and normalized confidence fields.
  • Default metadata assignment for JSON and MAVLink ingestion.
  • Confidence scoring from available telemetry components.

Phase 2: Fusion/Mapping + Digital Twin State Foundation

Implemented:

  • internal/autonomy/map_twin.go
  • api/rest/map_query.go
  • internal/autonomy/runtime_test.go

Key outcomes:

  • Layered map store with confidence-weighted cells.
  • Confidence decay model for stale observations.
  • Twin store with entity upsert/get and lag measurement.
  • Map query contract upgraded with confidence and twin freshness metadata.

Phase 3: Autonomous Course Correction Decision Logic

Implemented:

  • internal/autonomy/planner.go
  • internal/autonomy/runtime_test.go

Key outcomes:

  • Policy-constrained correction scoring and selection.
  • Safety guardrail behavior (hold position on unsafe set).

Phase 4: Digital Twin Predictive Function

Implemented:

  • internal/autonomy/predictor_orchestrator.go
  • internal/autonomy/runtime_test.go

Key outcomes:

  • Short-horizon linear motion prediction for twin what-if pathways.
  • Confidence propagation for predicted state.

Phase 5: Compute Orchestration Across Targets

Implemented:

  • internal/autonomy/predictor_orchestrator.go
  • internal/autonomy/runtime_test.go

Key outcomes:

  • Workload profile contract for latency/accelerator constraints.
  • Compute target selection across edge/node/backend inventory.

Phase 6: Hardening Readiness Validation

Implemented:

  • internal/autonomy/runtime_readiness.go
  • internal/autonomy/runtime_test.go

Key outcomes:

  • Production readiness checklist validator:
    • Chaos tests.
    • Rollback plan.
    • Safety gateway.
    • Audit trail.
    • Canary strategy.
    • SLO dashboards.

Validation Commands Executed

Broad package validation:

go test ./internal/autonomy ./sensors/drone ./sensors/slam ./api/rest

Phase-by-phase validation:

go test ./internal/autonomy -run TestCapabilityMatrixValidate
go test ./sensors/drone -run 'TestProcessJSONAcceptsValidContractPayload|TestProcessMAVLinkGlobalPositionInt'
go test ./internal/autonomy -run 'TestLayeredMapStoreAndDecay|TestTwinStoreLag'
go test ./internal/autonomy -run TestSelectBestCorrection
go test ./internal/autonomy -run TestPredictLinearMotion
go test ./internal/autonomy -run 'TestSelectComputeTarget|TestValidateReadiness'

All commands passed.