Computational Model Studio · Model release

Recharging Robots (IPC 2023 PDDL domain)

A pinned engineered PDDL domain describing robots, battery use, guarding, and action transitions for IPC 2023 planning tasks.

Developer: Daniel Gnad and Álvaro Torralba · Last verified:

What it is designed to do

Represent reusable action applicability, state transitions, and costs for Recharging Robots planning problems in PDDL; a compatible planner and separate problem instance are needed to generate a plan.

Primary contribution
representation
Input
structured symbols
Output
structured symbols (PDDL action and transition definitions)

Documented uses: IPC 2023 classical planning tasks use this domain with separate problem instances.

Access and deployment

Technical profile and review notes
Construction
engineered
Representation
symbolic
Normalized architecture tags
No normalized architecture tag assigned
Lifecycle
Unknown from reviewed sources

Inclusion rationale: Adds a bounded, public engineered symbolic planning-domain example to the model catalog.; One reusable PDDL domain file is distinct from its planner, problem instances, generator, and reference plans.

Limitations

  • The domain file alone does not generate plans; it requires a compatible planner and a separate problem instance.
  • The benchmark description does not establish control of physical robots.

Sources and related Studio records

Sources

  1. Recharging Robots PDDL domainIPC 2023 Classical Tracks · checked 2026-09-30
  2. Recharging Robots domain READMEIPC 2023 Classical Tracks · checked 2026-09-30
  3. IPC 2023 Classical Tracks results presentationIPC 2023 Classical Tracks · checked 2026-09-30
  4. The 2023 International Planning CompetitionAI Magazine · checked 2026-09-30

Connections