racket_impact — DRIVE racket op

• Data kinds: table × table → table

• Call: import fullseye as fs; fs.ledger.racket_impact(v, omega, normal, v_racket, bp: 'dict', rp: 'dict') -> 'dict' (to call the implementation directly, import racket; racket.racket_impact(v, omega, normal, v_racket, bp: 'dict', rp: 'dict') -> 'dict'; from the registry, opsdrive.get("racket_impact"))

Usage

A ball hits a moving racket (normal n, velocity v_r): ballistics.bounce with the relative velocity in the racket frame → transform back. Return value = same as bounce + "v_rel_in". n points toward the ball's side (the ball approaches opposite to n).

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_hit_check · aim_velocity · racket_plan · 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).*

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