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Unified Planning: A Python Library Making Planning Technology Accessible

Andrea Micheli; Alexandre Arnold; Arthur Bit-Monnot; Luigi Bonassi; Luca Framba; Alfonso Emilio Gerevini; Selvakumar Hastham Sathiya Satchi; Malte Helmert; Felix Ingrand; Luca Iocchi; Uwe Köckemann; Oscar Lima; Fabio Patrizi; Federico Pecora; Guillaume Poveda; Gabriele Röger; Alessandro Saetti; Alessandro Saffiotti; Enrico Scala; Ivan Serina; Sebastian Stock; Florent Teichteil-Koenigsbuch; Alessandro Trapasso; Paolo Traverso; Alessandro Valentini
In: Sylvie Thiébaux; William Yeoh; Akshat Kumar; Pradeep Varakantham (Hrsg.). Proceedings of the 32nd International Conference on Automated Planning and Scheduling, System Demonstration. International Conference on Automated Planning and Scheduling (ICAPS-2022), System Demonstration, located at ICAPS, June 13-24, virtual, Singapore, AAAI Press, Palo Alto, California, USA, 2022.

Abstract

The aim of the AIPlan4EU project is to make state-of-the-art planning technology easily accessible for real-world applications and to integrate planning as a service on the European AI-on-demand platform. At the very heart of the project is the development of a unified planning framework that permits to programmatically specify planning tasks and to interact with different planning engines through a common interface. The demo presents the AIPlan4EU vision for the unified planning framework and the current state of the development.

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