kendama_pose — DRIVE `kendamaworld` op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.kendama_pose(world: 'dict', hand, p_ball, *, R_ken=None, R_ball=None) -> 'dict' (to call the implementation directly, import kendamaworld; kendamaworld.kendama_pose(world: 'dict', hand, p_ball, *, R_ken=None, R_ball=None) -> 'dict'; from the registry, opsdrive.get("kendama_pose"))

Usage

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

けん玉の世界の状態を置く: けん(1 つの剛体。持つ所 kp["grip"] を手元 `hand に、姿勢 R_ken` 既定 = kp の技の姿勢

kp["R_ken"]: 皿胴の中心 = hand − R·grip)、玉(中心 `p_ball`)、

糸(皿胴の糸穴 → 玉の糸穴)。`R_ball` 既定 = 玉の糸穴(−HOLE_AXIS_LOCAL)が皿胴の糸穴を向く回転(玉の回転は解かない:

張っている間は正しく、飛翔中は近似)。返り値 ``{"tie", "cup" (受ける皿の縁の中心), "cup_axis", "cross" (皿胴の中心), "string_hole", "hole_axis" (大きな穴の向き、世界),

"R_ball"}``。

`world は :func:kendama_world` のもの(world["kendama"] が要る)。

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_kendama — py -3.11 examples/poc_kendama.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 (`kendamaworld`)

ken_mesh · add_ken · ken_set_pose · string_mesh · add_string · string_set · kendama_world · kendama_rig

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

kendama_pose — DRIVE kendamaworld op