Individual skill

evo-virtualhome-agent-planning

Solves PDDL airport ground traffic control planning problems from the IPC Airport domain. Uses unified-planning with pyperplan backend (GBFS + hFF for agile solving), with direct pyperplan fallback, robust timeout/memout handling, and correct plan output formatting.

tasks-evolved/virtualhome-agent-planning/environment/skills/evo-virtualhome-agent-planning/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 97
Repository last updated: Sep 10, 2026
License: Apache-2.0

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open-world Repository topic
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# evo-virtualhome-agent-planning

## Description
Solves PDDL airport ground traffic control planning problems from the IPC Airport domain.
Uses unified-planning with pyperplan backend to automatically find valid plans, with multiple
fallback strategies and robust error handling for large-scale instances (up to Munich Airport scale).

## Key Domain Knowledge
- Airport domain models ground traffic: airplanes taxi between segments (taxiways, runways, parking)
- Actions: move, startup (pushing->moving), park (terminal), takeoff (terminal), pushback
- Dual-predicate pattern: occupied/not_occupied, blocked/not_blocked must be maintained
- Blocking is per-airplane (safety buffers)
- IPC-4 Airport domain is PSPACE-hard; largest instances encode full Munich Airport (MUC)
- STRIPS-compiled versions required for pyperplan (no ADL/negative preconditions support)