Real-World Planning with PDDL+ and Beyond
<|reference_start|>Real-World Planning with PDDL+ and Beyond: Real-world applications of AI Planning often require a highly expressive modeling language to accurately capture important intricacies of target systems. Hybrid systems are ubiquitous in the real-world, and PDDL+ is the standardized modeling language for capturing such systems as planning domains. PDDL+ enables accurate encoding of mixed discrete-continuous system dynamics, exogenous activity, and many other interesting features exhibited in realistic scenarios. However, the uptake in usage of PDDL+ has been slow and apprehensive, largely due to a general shortage of PDDL+ planning software, and rigid limitations of the few existing planners. To overcome this chasm, we present Nyx, a novel PDDL+ planner built to emphasize lightness, simplicity, and, most importantly, adaptability. The planner is designed to be effortlessly customizable to expand its capabilities well beyond the scope of PDDL+. As a result, Nyx can be tailored to virtually any potential real-world application requiring some form of AI Planning, paving the way for wider adoption of planning methods for solving real-world problems.<|reference_end|>
@article{piotrowski2024real-world,
    title={Real-World Planning with PDDL+ and Beyond},
    author={Wiktor Piotrowski, Alexandre Perez},
    journal={arXiv preprint arXiv:2402.11901},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.11901},
    primaryClass={cs.AI}
}