* `controllers/shepherd_dog/shepherd_dog.py`
- Tracks the first step at which each sheep crosses the gate; on
auto-finish (all sheep penned) prints a `[results]` summary
block: mode/drive/world/lidar/dogs/seed line, total simulated
time, per-sheep penning order with absolute step + seconds since
sim start, and the gate spread between the first and last
penning.
- Reads `HERDING_SEED` (env / runtime cfg) and seeds the
controller's RNG when set. Empty = time-based default = old
non-deterministic behaviour.
* `controllers/sheep/sheep.py` reads `HERDING_SEED` the same way
(loading `herding_runtime.cfg` itself so it works even when
Webots strips env vars) and seeds Python's RNG XOR'd with the
sheep's name hash, so a fixed seed gives a reproducible flock
trajectory without all sheep starting from identical wander state.
* `tools/run_webots.sh` writes `HERDING_SEED` into the runtime cfg
(empty when unset so existing scripts keep their stochastic
behaviour).
* `tools/webots_menu.sh` gains a Seed prompt (random / fixed
integer); the launch summary box shows the choice next to the
perception row.
* `Makefile`
- `make webots` now fires the interactive picker (replacing the
old positional invocation).
- `make webots_quick MODE=… DRIVE=… WORLD=… N=…` is the old
positional path, kept for batch / scripted use.
Smoke-tested: menu renders Mode → Drive → World → LiDAR → Dogs
→ Sheep → Perception → Seed → Headless prompts and shows the
selected Seed value in the launch summary. 126 pytest cases still
pass.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
The launcher can now spawn two `ShepherdDog` robots, each masked to a
single axis of motion, so the herding workload is split orthogonally.
Mechanic:
* `HERDING_NDOGS=2` (default 1) tells `tools/run_webots.sh` to replace
the single-dog node in the generated test world with two copies:
- `ShepherdDogX` at (-4, -10), `customData "axis=x"`
- `ShepherdDogY` at (+4, -10), `customData "axis=y"`
Each spawn position sits south of the field interior so the pair
doesn't collide with starting sheep.
* `controllers/shepherd_dog/shepherd_dog.py` reads `getCustomData()`
at startup; when `axis=x|y` it zeroes the off-axis component of every
action *after* speed modulation and *before* EMA smoothing. With
`customData` empty the controller behaves identically to single-dog
mode, so all existing launches are unaffected.
* The dog's emitter line now carries the robot's name
(`dog:ShepherdDogX:x:y`), and `controllers/sheep/sheep.py` keeps a
`dogs` dict keyed by name, picking the closest one each step for
its flee target. Single-dog runs still use the legacy two-field
`dog:x:y` format thanks to a length check.
* `HERDING_NDOGS` is written into `herding_runtime.cfg` and exported
to subprocesses so future tooling can read it.
Verified behaviour in Webots smoke tests (HERDING_NDOGS=2, strombom,
diff/field, 5 sheep): both dogs spawn with the expected names and
axis tags, the dual-dog status print appears, each dog acts only on
its assigned axis early in the trial, and the masking is internally
consistent. The pair stalls before penning under pure axis-split
because each dog reaches its drive standoff and then has only one
degree of freedom — useful research finding for the write-up;
coordination strategy (shared CoM, role-switching, etc.) is future
work.
126 pytest cases still pass.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Naming pass: rename functions whose third+ segment is redundant or
implementation-detail, sticking to the codebase's preferred
``noun_verb`` / ``verb_noun`` two-concept idiom. Renames are atomic
across definitions, callers, and tests.
is_penned_position → is_penned
modulate_speed_near_sheep → modulate_speed
mecanum_kinematics_step → mecanum_step
policy_forward_mean → forward_mean
Two-concept patterns like ``velocity_to_wheels`` / ``detections_from_scan``
/ ``make_strombom_predictor`` are left alone — they're idiomatic
converters / factories that read as a single concept, and the longer
form aids grep-ability.
Docstring polish:
* ``herding/config.py`` header drops the "previously lived as a
module-level literal" historical framing — we ship as a single
thing, so the refactor anecdote no longer earns its keep. The
usage examples now mention both ``HERDING_WEBOTS`` and
``HERDING_MEC_WEBOTS`` presets.
126 pytest cases still pass.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
Johnny Fernandes