PDDL4J is an open source library under LGPL license whose purpose of PDDL4J is to facilitate the development of JAVA tools for Automated Planning based on PDDL language (Planning Domain Description Language).

Planning Domain Definition Language (PDDL) samples demonstrating VS Code PDDL extension features

A beginner's guide to learning, implementing and using PDDL.

FOND4LTLf translates an LTLf/PLTLf-FOND to standard FOND planning problems

Temporal fast downward planner.

📚️ A repository for showcasing my knowledge of the PDDL programming language, and continuing to learn the language.

⌨️ The PDDL programming language IDE submodule for SNU Programming Tools (2D Mode)

The PDDL code for a space explorer that moves around mars and gathers data from different locations.

planning problem w pddl and python

Automatic task planner with PDDL and the Fast Forward planning system. Group project from the Artificial Intelligence course of my Data Science and Engineering Bachelor's Degree.

In the context of a modern construction site, autonomous robots are tasked with monitoring the execution of work to estimate its advancements, and to ensure safety and efficiency. Equipped with various sensors and tools, these robots must navigate the site, inspect ongoing tasks, and report any discrepancies or hazards.

Encoder for human strategies in Planimation

Read pddl files to create plans for a robot to work around the warehouse

PDDL+ based AI Task Planning domain modelling a robot-enabled cafe environment. Part of Assignment for AI for Robotics 2 course at UniGe, Italy.

Development and implementation using PDDL/HDDL planners of five different scenarios involving injured people and delivery robots, with increasing complexity

pddl files for Mars Rover domain and mission. Models rover navigation, data collection, processing, and transmission.

Progetto per la Prova Finale del corso di "Intelligenza Artificiale"

A repository that defines domain and problem scenarios in PDDL, to be solved with fast-downward

A taxi domain modeled in PDDL. The objects in the chosen domain are taxis, people, and sidewalks. Taxis can park along a sidewalk or double-park and can move from one sidewalk to another

PDDL Assembly Synthesis for Sorting Algorithmus using Planning