unified-planning's Introduction

The AIPlan4EU Unified Planning Library

The unified_planning library makes it easy to formulate planning problems and to invoke automated planners.

Define problems in a simple, intuitive, and planner independent way
Solve your planning problems using one of the native solvers, or by using any PDDL planner
Dump your problems in PDDL (or ANML) format
Parse PDDL problem formulations
Simplification, grounding, removal of conditional effects and many other transformations are available
and more...

Usage

from unified_planning.shortcuts import *

x = Fluent("x")

a = InstantaneousAction("a")
a.add_precondition(Not(x))
a.add_effect(x, True)

problem = Problem("basic")
problem.add_fluent(x)
problem.add_action(a)
problem.set_initial_value(x, False)
problem.add_goal(x)

with OneshotPlanner(problem_kind=problem.kind) as planner:
    result = planner.solve(problem)
    if result.status in unified_planning.engines.results.POSITIVE_OUTCOMES:
        print(f"{planner.name} found this plan: {result.plan}")
    else:
        print("No plan found.")

Documentation

The documentation is available here

Examples

More complex examples are available as notebooks here.

Staying Updated

To stay informed about project updates, announcements, and general discussions, we encourage you to join our public mailing list: (https://groups.google.com/g/unified-planning).

You can subscribe to this list to receive notifications and engage in community discussions.

Acknowledgments

This library is being developed for the AIPlan4EU H2020 project (https://aiplan4eu-project.eu) that is funded by the European Commission under grant agreement number 101016442.

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