add_ken — DRIVE `kendamaworld` op

• Data kinds: table × table → scalar

• Call: import fullseye as fs; fs.ledger.add_ken(world: 'dict', mesh: 'dict', p, R=None, *, name: 'str' = 'ken') -> 'int' (to call the implementation directly, import kendamaworld; kendamaworld.add_ken(world: 'dict', mesh: 'dict', p, R=None, *, name: 'str' = 'ken') -> 'int'; from the registry, opsdrive.get("add_ken"))

Usage

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

けんを姿勢 (p = 皿胴の中心, R) で世界に足す(面ラベル 27/28/30/31 はそのまま)。返り値 = objects の索引。

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 `scalar` as input)

spin_from_marker_sequence · road_eval · long_simulate · stopping_distance_grade · stop_line_plan · hill_hold_brake_min · hill_start_rollback · hill_start_command

Same category (`kendamaworld`)

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

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

add_ken — DRIVE kendamaworld op