aim_velocity — DRIVE `racket` op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.aim_velocity(p, target, T: 'float', bp: 'dict', omega=(0.0, 0.0, 0.0), refine: 'int' = 6, dt: 'float' = 0.001) -> 'dict' (to call the implementation directly, import racket; racket.aim_velocity(p, target, T: 'float', bp: 'dict', omega=(0.0, 0.0, 0.0), refine: 'int' = 6, dt: 'float' = 0.001) -> 'dict'; from the registry, opsdrive.get("aim_velocity"))

Usage

Initial velocity that reaches target from point p in time T. Starting from the vacuum closed form v = (Δxy/T, (Δz + ½gT²)/T), refine iterations of Gauss–Newton (finite differences) on the equations of motion with drag + Magnus (ω). {"v", "residual"} (residual = miss distance at arrival [m]).

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 · 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).*

aim_velocity — DRIVE racket op