noisy_perceiver — DRIVE kendama op

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

• Call: import fullseye as fs; fs.ledger.noisy_perceiver(rng, noise_pos: 'float' = 0.0, noise_vel: 'float' = 0.0) (to call the implementation directly, import kendama; kendama.noisy_perceiver(rng, noise_pos: 'float' = 0.0, noise_vel: 'float' = 0.0); from the registry, opsdrive.get("noisy_perceiver"))

Usage

Adds isotropic Gaussian noise to perception: perceive(t, p, v) → (p̂, v̂) (position σ = noise_pos [m], velocity σ = noise_vel [m/s]). A negative σ raises ValueError. rng = numpy.random.Generator.

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 any as input)

course_crank · course_s_curve · course_turnaround · course_slope · course_intersection · course_parallel_parking · course_crossing · course_road

Same category (kendama)

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

*Provenance: kendama.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.