#!/bin/bash # Launch Webots with N sheep enabled and the chosen controller mode. # Generates a temporary world file in worlds/field_test.wbt with sheep # beyond N commented out, sets the env vars the dog controller reads, # then execs Webots on it. # # Usage: # tools/run_webots.sh [N] [MODE] # N : number of active sheep (1..10), default 10 # MODE : "rl" | "strombom" | "sequential", default "rl" # # Examples: # tools/run_webots.sh 10 rl # BC-trained RL policy, 10 sheep # tools/run_webots.sh 5 sequential # the analytic teacher, 5 sheep # tools/run_webots.sh 3 strombom # canonical baseline, 3 sheep # # Notes: # * The RL mode loads training/runs/bc_solo/policy.zip by default. # Override via HERDING_POLICY_DIR=/path/to/run env var. # * Conda env "tir" must be active (provides stable-baselines3 + torch). set -e N=${1:-10} MODE=${2:-rl} if (( N < 1 || N > 10 )); then echo "N must be 1..10, got $N" >&2; exit 1 fi case "$MODE" in rl|strombom|sequential) ;; *) echo "MODE must be rl|strombom|sequential, got '$MODE'" >&2; exit 1 ;; esac ROOT="$( cd "$( dirname "${BASH_SOURCE[0]}" )/.." && pwd )" SRC="$ROOT/worlds/field.wbt" DST="$ROOT/worlds/field_test.wbt" cp "$SRC" "$DST" # Comment out sheep N+1..10 by prefixing the matching Sheep { ... } line. for i in $(seq $((N+1)) 10); do sed -i "s|^Sheep .* \"sheep${i}\".*|# &|" "$DST" done active=$(grep -c '^Sheep' "$DST") echo "------------------------------------------------------------" echo "World : $DST" echo "Mode : $MODE" echo "Sheep : $active active" echo "Policy dir : ${HERDING_POLICY_DIR:-$ROOT/training/runs/bc_solo}" echo "------------------------------------------------------------" # Webots strips HERDING_* env vars from controller subprocesses in some # setups, so we also write a runtime config file the controller reads. RESOLVED_POLICY_DIR="${HERDING_POLICY_DIR:-$ROOT/training/runs/bc_solo}" cat > "$ROOT/herding_runtime.cfg" <