pad_marker_displacement — DRIVE `pegtactile` op

• Data kinds: scalar × signal × table → table

• Call: import fullseye as fs; fs.ledger.pad_marker_displacement(P: 'float', q_uv, pad: 'dict', ctx=None, pts=None, torsion: 'float' = 0.0) -> 'dict' (to call the implementation directly, import pegtactile; pegtactile.pad_marker_displacement(P: 'float', q_uv, pad: 'dict', ctx=None, pts=None, torsion: 'float' = 0.0) -> 'dict'; from the registry, opsdrive.get("pad_marker_displacement"))

Usage

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

膜の表面変位をマーカー位置で(閉形式 + Cerruti 畳み込み): 向き φ のせん断 |q| は x 向きの Mindlin 場を φ だけ回したもの

u(p) = R(φ) u_x(R(−φ)p)(核は等方な半空間なので回転で閉じる)、法線荷重の半径変位 ūr(Johnson 式 3.41b)と無滑りねじりの場

(:func:tactorque.torsion_stick_field)を足す。`pts はマーカー中心(px、省略時は ctx の基準位置)。返り u_m`(N, 2)[m]、

`hz・mp(Hertz と Mindlin の表)、phi・Q・torsion。全滑り(|q| ≥ μP)は mp['slipping']` の印(場は c = 0)。

Raises ValueError: P ≤ 0(パッドが離れている)、q が有限の 2 成分でない。

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 `table` as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (`pegtactile`)

pad_params · pad_context · peg_wrench_to_pad_loads · pad_loads_to_peg_wrench · pad_shear_asymmetry · pad_tactile_frame · pad_tactile_read · contact_candidates

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

pad_marker_displacement — DRIVE pegtactile op