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.

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

ChainReactor is a research project that leverages AI planning to discover exploitation chains for privilege escalation on Unix systems. The project models the problem as a sequence of actions to achieve privilege escalation from initial access to a target system.

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

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

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).

This project uses PDDL to model a construction site monitoring scenario with autonomous robots. Robots navigate, inspect using sensors (camera, lidar, thermal), collect and process data, and update the BIM system. Runs with BFWS planner.

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

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

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

PDDL Assembly Synthesis for Sorting Algorithmus using Planning

Six Degrees of Planning: Automated Planning for Surgical Navigation Under MyCobot’s Six Degrees of Freedom

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

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

A PDDL parser

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

Práctica de planificación IA FIB-UPC (2023-24 otoño)

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

This repository contains results and code for the paper "There and Back Again: Extracting Formal Domains for Controllable Neurosymbolic Story Authoring" by Jack Kelly, Alex Calderwood, Noah Wardrip-Fruin, and Michael Mateas.

Using Computer Vision and Automated Planning for solving the mobile game "Flow Free"