warehouse_grid — DRIVE `agv` op

• Data kinds: none → any (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.warehouse_grid(n_rack_rows=3, n_rack_cols=4, rack_len=4, aisle=1, margin=2) (to call the implementation directly, import agvfleet; agvfleet.warehouse_grid(n_rack_rows=3, n_rack_cols=4, rack_len=4, aisle=1, margin=2); from the registry, opsdrive.get("warehouse_grid"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

棚の列と通路でできた倉庫の格子(True = 走れる)。

棚は横長の 1 行 × `rack_len マスのブロックで、上下左右を幅 aisle の通路が囲む。外周に margin`

マスの走行帯(ステーションの前)を置く。返りは `(grid, info)`、info に棚のマスの一覧と外周の帯。

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_agv_fleet — py -3.11 examples/poc_agv_fleet.py

Ops the type connects to (they accept `any` as input)

course_crank · course_s_curve · course_turnaround · course_slope · course_intersection · course_parallel_parking · course_crossing · course_road

Same category (`agv`)

grid_distances · mapf_cbs · mapf_ecbs · mapf_joint_astar · mapf_prioritized · plan_conflicts · plan_cost · adg_build

*Provenance: agvfleet.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

warehouse_grid — DRIVE agv op