In Artificial Intelligence Planning, there are different types of planning, and this problem is an example of Classical Planning.

Problem instances for help debugging/testing/improving pyplanners and pddlstream

Mini AI Task and Motion Planning project. Part of Assignment of AI for Robotics 2 course at UniGe, Italy.

Using artificial intelligence automated planning to efficiently execute space debris collection. Testing and evaluation results illustrated in the project readme

Planning tasks succinctly represent labeled transition systems, with each ground action corresponding to a label. This granularity, however, is not necessary for solving planning tasks and can be harmful, especially for model-free methods. In this work, we propose automatic approach to reduce the label sets for planning domains.

PDDL2SPARQL is a program which converts the text in PDDL forms to the corresponding SPARQL queries.

ABL-Unity3D is a GUI-based and efficient Genetic Programming (GP) and AI Planning framework designed for agent-based learning (ABL) research.

An AI planning (PDDL language) program for covid-19 testkits/potential vaccine delivery bots.

Simple classical planning implementation for .NET.

📋 Assistive planning generation, organization and analysis tool.

Programming project of the "Smart Cities & IoT" course at the University of Stuttgart

OWLS-FDplan is a service composition planner: Given a set of problem and/or domain described in OWL as input, as well as a service composition problem expressed in OWL-S 1.1, OWLS-FDplan produces a set of plans solving that problem.

Final work of the master's degree course in Artificial Intelligence and Robotics - Sapienza, Rome

Pacman game agent

KLEP (Key-Lock-Executable-Process) is a groundbreaking AI framework that utilizes symbolic AI for dynamic decision-making. It integrates keys, locks, executables, and processes to foster ethical, modular, and transparent AI applications, offering a novel approach for developers and researchers in AI and cognitive science.

A* and Recursive BFS strategies to autonomously guide Pacman in the maze world.

Research on automatically generating quest plans from stories written in natural language

Evil labyrinth solving planner.

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