dd5ac669e5
Today's session worked across the full Webots delivery stack — found and
fixed a cluster of bugs blocking the BC/RL transfer, then explored
training-side mitigations for the residual perception gap.
Bug fixes:
- Makefile FP_RATE default 2.0 → 0.0: BC demos used fp_rate=0 but RL
fine-tune defaulted to fp_rate=2, poisoning the BC obs distribution
and stalling PPO at 0% success across 1.46M+ steps.
- controllers/{shepherd_dog,sheep}/runtime.ini: Webots was launching
controllers under system python3 (no numpy) and they were crashing
silently. Pinned to the conda tir env.
- herding/config.py HERDING_WEBOTS preset: pen_latch_depth 0.5 → 2.0,
max_new_tracks_per_step 3 → 1, static_reject 0.8 → 1.2. Stops phantom
FPs near the gate from latching as permanently-penned tracks.
- herding/perception/sheep_tracker.py: penned tracks now decay at
forget_steps × 8 instead of living forever. Adds get_positions
min_freshness filter for deploy-time use.
Training/eval matches deployment:
- training/bc/collect.py: --dagger-policy flag for DAgger rollouts
(policy drives, teacher labels) + --use-webots-preset for matched
140° tracker + DR config.
- controllers/shepherd_dog/shepherd_dog.py: scan-fallback (0, 0.6) when
BC/RL sees empty sheep_positions — recovers from FOV gaps.
Tooling:
- tools/dagger_round.sh: one-shot DAgger round (collect + concat + bc).
- tools/webots_sweep_gt.sh: full sweep with HERDING_USE_GT=1 for the
perception-gap diagnosis matrix.
- protos/ShepherdDog360.proto: 360° FOV variant for the FOV-ablation
comparison. Canonical proto stays at 140° per project spec.
Artifacts: v1 BC/RL policies for all 4 (drive × world) combos trained
in clean gym (success: diff/field 90-100%, diff/round 58%, mec/field
60-100%, mec/round 50-100%). DAgger r1/r2 BCs for diff/field show
12%→38% progression on gym HERDING_WEBOTS proxy but did not close
to actual Webots LiDAR (0/5 throughout). Next: LSTM policy or
learned tracker per the project-state memory.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
178 lines
6.1 KiB
Bash
Executable File
178 lines
6.1 KiB
Bash
Executable File
#!/bin/bash
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# Launch Webots with N sheep enabled and the chosen controller mode.
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# Generates a temporary world file in worlds/field_test.wbt with sheep
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# beyond N commented out, sets the env vars the dog controller reads,
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# then execs Webots on it.
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#
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# Usage:
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# tools/run_webots.sh [N] [MODE] [DRIVE] [WORLD]
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# N : number of active sheep (1..10), default 10
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# MODE : "bc" | "rl" | "strombom" | "sequential", default "bc"
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# DRIVE : "differential" | "mecanum", default "differential"
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# WORLD : base world name (without .wbt), default "field"
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# Supported: "field" (rectangular), "field_round" (circular)
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#
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# Examples:
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# tools/run_webots.sh 10 bc # behaviour-cloned MLP, diff drive
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# tools/run_webots.sh 10 rl mecanum # KL-PPO fine-tune, mecanum wheels
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# tools/run_webots.sh 5 sequential field_round # analytic baseline, round field
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# tools/run_webots.sh 3 strombom mecanum field_round # Strömbom, mecanum, round
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#
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# Notes:
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# * bc loads training/runs/bc/policy.zip, rl loads training/runs/rl.
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# Override via HERDING_POLICY_DIR=/path/to/run env var.
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# * Conda env "tir" must be active (provides stable-baselines3 + torch).
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#
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# Headless-ish (no 3D view, fast sim, no modal dialogs):
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# WEBOTS_HEADLESS=1 make webots N=10 MODE=rl DRIVE=mecanum
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# WEBOTS_HEADLESS=1 tools/run_webots.sh 10 rl mecanum
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# This passes --no-rendering --minimize --mode=fast --batch to webots.
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# Webots still needs a display (Qt); on a machine without one use e.g.:
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# xvfb-run -a env WEBOTS_HEADLESS=1 tools/run_webots.sh 10 rl mecanum
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# Optional extra CLI tokens (space-separated):
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# WEBOTS_EXTRA_ARGS="--stdout --stderr" WEBOTS_HEADLESS=1 tools/run_webots.sh 10 rl
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set -e
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N=${1:-10}
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MODE=${2:-bc}
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DRIVE=${3:-differential}
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WORLD=${4:-field}
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if (( N < 0 || N > 10 )); then
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echo "N must be 0..10, got $N" >&2; exit 1
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fi
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case "$MODE" in
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bc|rl|strombom|sequential|universal|calibrate) ;;
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*) echo "MODE must be bc|rl|strombom|sequential|universal|calibrate, got '$MODE'" >&2; exit 1 ;;
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esac
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case "$DRIVE" in
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differential|mecanum) ;;
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*) echo "DRIVE must be differential|mecanum, got '$DRIVE'" >&2; exit 1 ;;
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esac
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ROOT="$( cd "$( dirname "${BASH_SOURCE[0]}" )/.." && pwd )"
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SRC="$ROOT/worlds/${WORLD}.wbt"
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if [[ ! -f "$SRC" ]]; then
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echo "World file not found: $SRC" >&2; exit 1
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fi
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DST="$ROOT/worlds/${WORLD}_test.wbt"
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if [[ -n "${HERDING_POLICY_DIR:-}" ]]; then
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RESOLVED_POLICY_DIR="$HERDING_POLICY_DIR"
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else
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# Try drive-mode-specific path first, then legacy path.
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if [[ "$MODE" == "rl" ]]; then
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DRIVED="$ROOT/training/runs/rl_${DRIVE}"
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LEGACY="$ROOT/training/runs/rl"
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else
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DRIVED="$ROOT/training/runs/bc_${DRIVE}"
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LEGACY="$ROOT/training/runs/bc"
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fi
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if [[ -d "$DRIVED" ]]; then
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RESOLVED_POLICY_DIR="$DRIVED"
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else
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RESOLVED_POLICY_DIR="$LEGACY"
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fi
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fi
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cp "$SRC" "$DST"
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# Swap robot proto based on drive mode.
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# Base worlds reference ShepherdDog (diff-drive). For mecanum we swap in
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# ShepherdDogMecanum and inject mecanum contact properties.
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if [[ "$DRIVE" == "mecanum" ]]; then
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sed -i 's|"../protos/ShepherdDog.proto"|"../protos/ShepherdDogMecanum.proto"|' "$DST"
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sed -i 's|^ShepherdDog {|ShepherdDogMecanum {|' "$DST"
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# Inject mecanum contact properties into the contactProperties array.
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# Strategy: find the closing ' ]' that ends the contactProperties block
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# (it sits at 2-space indent, immediately before the WorldInfo closing brace)
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# and insert just before it.
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python3 -c "
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with open('$DST', 'r') as f:
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txt = f.read()
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mec = ''' ContactProperties {
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material1 \"MecanumWheel\"
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coulombFriction [
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1.0
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]
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bounce 0
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forceDependentSlip [
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0.01
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]
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softCFM 0.0001
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}
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'''
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# The contactProperties array closes with ' ]\n}' (2-space indent ] then WorldInfo }).
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# Insert the new block just before that closing ].
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txt = txt.replace('\n ]\n}', '\n' + mec + ' ]\n}', 1)
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with open('$DST', 'w') as f:
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f.write(txt)
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"
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fi
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# Comment out sheep N+1..10 by prefixing the matching Sheep { ... } line.
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for i in $(seq $((N+1)) 10); do
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sed -i "s|^Sheep .* \"sheep${i}\".*|# &|" "$DST"
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done
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active=$(grep -c '^Sheep' "$DST")
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echo "------------------------------------------------------------"
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echo "World : $DST"
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echo "Mode : $MODE"
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echo "Drive : $DRIVE"
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echo "Sheep : $active active"
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echo "Policy dir : $RESOLVED_POLICY_DIR"
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echo "------------------------------------------------------------"
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# Webots strips HERDING_* env vars from controller subprocesses in some
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# setups, so we also write a runtime config file the controller reads.
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cat > "$ROOT/herding_runtime.cfg" <<EOF
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HERDING_MODE=$MODE
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HERDING_POLICY_DIR=$RESOLVED_POLICY_DIR
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HERDING_DRIVE=$DRIVE
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HERDING_WORLD=$WORLD
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HERDING_USE_GT=${HERDING_USE_GT:-0}
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EOF
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export HERDING_MODE="$MODE"
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export HERDING_POLICY_DIR="$RESOLVED_POLICY_DIR"
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export HERDING_DRIVE="$DRIVE"
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export HERDING_WORLD="$WORLD"
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# The controller writes this sentinel when all GT sheep are penned. We
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# poll for it and kill Webots so the run finishes cleanly instead of
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# idling for minutes after the task is done.
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DONE_FILE="$ROOT/training/.run_done"
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mkdir -p "$(dirname "$DONE_FILE")"
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rm -f "$DONE_FILE"
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if [[ "${WEBOTS_HEADLESS:-}" == "1" ]]; then
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echo "[run_webots] headless flags: --no-rendering --minimize --mode=fast --batch"
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# shellcheck disable=SC2086
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webots --no-rendering --minimize --mode=fast --batch ${WEBOTS_EXTRA_ARGS:-} "$DST" &
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else
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# shellcheck disable=SC2086
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webots ${WEBOTS_EXTRA_ARGS:-} "$DST" &
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fi
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WEBOTS_PID=$!
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cleanup() {
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kill "$WEBOTS_PID" 2>/dev/null || true
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wait "$WEBOTS_PID" 2>/dev/null || true
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exit 0
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}
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trap cleanup INT TERM
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# Poll for the sentinel; bail when Webots exits on its own or when the
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# user closes the window.
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while kill -0 "$WEBOTS_PID" 2>/dev/null; do
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if [[ -f "$DONE_FILE" ]]; then
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echo "[run_webots] all sheep penned — closing Webots"
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sleep 1 # let the controller print its line
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kill "$WEBOTS_PID" 2>/dev/null || true
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break
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fi
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sleep 1
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done
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wait "$WEBOTS_PID" 2>/dev/null || true
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