pendulum_rod_simulate — DRIVE `kendama` op

• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.pendulum_rod_simulate(L: 'float', theta0: 'float', t_end: 'float', dt: 'float' = 0.001, g: 'float' = 9.81, omega0: 'float' = 0.0) -> 'dict' (to call the implementation directly, import kendama; kendama.pendulum_rod_simulate(L: 'float', theta0: 'float', t_end: 'float', dt: 'float' = 0.001, g: 'float' = 9.81, omega0: 'float' = 0.0) -> 'dict'; from the registry, opsdrive.get("pendulum_rod_simulate"))

Usage

Rod pendulum (the constraint acts in both directions: it does not go slack) θ̈ = −(g/L) sin θ integrated with RK4. Returns {"t", "theta", "omega", "energy"} (energy = ½L²ω² − gL cos θ, unit mass). For comparison, to check the period theorem for θ₀ > π/2, where a string goes slack.

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 (`kendama`)

kendama_params · elliptic_k_agm · pendulum_period_exact · pendulum_launch_speed · tether_tension_fixed · tether_slack_angle · swing_up_plan · swing_up_apex

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

pendulum_rod_simulate — DRIVE kendama op