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

Sets the state of the kendama world: the ken (1 rigid body; grip point kp["grip"] at hand hand, pose R_ken defaulting to the trick pose kp["R_ken"] in kp: cross-piece center = hand − R·grip), the ball (center p_ball), and the string (cross-piece string hole → ball string hole). R_ball defaults to the rotation that points the ball's string hole (−HOLE_AXIS_LOCAL) at the cross-piece's string hole (the ball's rotation is not solved: correct while taut, approximate in flight). Returns {"tie", "cup" (rim center of the receiving cup), "cup_axis", "cross" (cross-piece center), "string_hole", "hole_axis" (direction of the large hole, world), "R_ball"}. world is the one from kendama_world (world["kendama"] is required).

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).*

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