racket_plan — DRIVE `racket` op

• Data kinds: table × table → table

• Call: import fullseye as fs; fs.ledger.racket_plan(v_in, omega_in, v_out, bp: 'dict', rp: 'dict', refine: 'int' = 8) -> 'dict' (to call the implementation directly, import racket; racket.racket_plan(v_in, omega_in, v_out, bp: 'dict', rp: 'dict', refine: 'int' = 8) -> 'dict'; from the registry, opsdrive.get("racket_plan"))

Usage

Racket normal n and velocity v_r (along the normal) that produce the desired v_out. Starting from the closed form with friction 0 n ∝ v_out − v_in, v_r·n = |Δv|/(1+e) + v_in·n, iterates refine times with the actual impact (including friction and spin). Return value {"normal", "v_racket", "v_out_actual", "omega_out", "residual"}. ValueError if Δv ≈ 0.

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_table_tennis_rally_loop — py -3.11 examples/poc_table_tennis_rally_loop.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 (`racket`)

racket_params · racket_impact · racket_hit_check · aim_velocity · racket_move · strategy_attacker · 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).*

racket_plan — DRIVE racket op