  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.
