strategy_attacker — DRIVE racket op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.strategy_attacker(side: 'int', ctx: 'dict', rng) -> 'dict' (to call the implementation directly, import racket; racket.strategy_attacker(side: 'int', ctx: 'dict', rng) -> 'dict'; from the registry, opsdrive.get("strategy_attacker"))

Usage

Shot selection to win: toward the corner far from the opponent's racket (the left/right edge, alternating short and deep), with a short flight time. The spin aim also alternates. ctx = {"opp_pos" (3,), "shot_index", "tp"}. Return value {"target" (x, y), "T", "spin"}.

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)

• (none yet)

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 (racket)

racket_params · racket_impact · racket_hit_check · aim_velocity · racket_plan · racket_move · strategy_feeder · shot_is_legal

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

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.