slip_entropy — DRIVE `tacslip` op

• Data kinds: signal → scalar

• Call: import fullseye as fs; fs.ledger.slip_entropy(mag, bins: 'int' = 16, vmax=None) -> 'float' (to call the implementation directly, import tacslip; tacslip.slip_entropy(mag, bins: 'int' = 16, vmax=None) -> 'float'; from the registry, opsdrive.get("slip_entropy"))

Usage

Shannon entropy of the histogram (bins bins, range [0, vmax] — the maximum if omitted) of the displacement magnitudes |u|, normalized by ln(bins) (0..1). The slip indicator of Yuan 2017: it rises as the stick core shrinks and more markers lie on the gradient of the slip annulus. Raises ValueError: no points, bins < 2.

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_tacsim_marker_shear — py -3.11 examples/poc_tacsim_marker_shear.py

Ops the type connects to (they accept `scalar` as input)

spin_from_marker_sequence · carla_transform_matrix · carla_pose_to_world · carla_camera_pose · carla_xy_yaw · carla_scene_load · town_chain · osm_parse

Same category (`tacslip`)

mindlin_partial_slip · mindlin_traction · hertz_surface_ur · hertzian_tangential_inner · cerruti_kernel · cerruti_surface_displacement · membrane_shear_field · membrane_markers

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

slip_entropy — DRIVE tacslip op