mapf_prioritized — DRIVE `agv` op

• Data kinds: image2d → table

• Call: import fullseye as fs; fs.ledger.mapf_prioritized(grid, starts, goals, order=None, horizon=None) (to call the implementation directly, import agvfleet; agvfleet.mapf_prioritized(grid, starts, goals, order=None, horizon=None); from the registry, opsdrive.get("mapf_prioritized"))

Usage

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

優先度付き計画: 順に 1 台ずつ、先に決まった車両の通り道(予約表)を避けて計画する。

速いが不完全 —— 解がある問題でも、優先順によっては(どの順でも)見つけられない(Ma ら 2019)。

返りは dict: `paths(失敗なら None)、cost、solved、failed_agent`(最初に詰まった車両)。

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 `table` as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (`agv`)

warehouse_grid · grid_distances · mapf_cbs · mapf_ecbs · mapf_joint_astar · 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).*

mapf_prioritized — DRIVE agv op