/D-ITAGS

Dynamic Incremental Task Allocation Graph Search (RA-L / IROS 2023)

Primary LanguageC++GNU General Public License v3.0GPL-3.0

Graphically Recursive Simultaneous Task Allocation, Planning, Scheduling, and Execution

Description

This repository contains the various components of GRSTAPS+E. These include a refactored version of Forward Chaining Partial-Order Planning (FCPOP); Incremental Task Allocation Graph Search (Itags); and Graphically Recursive Task Allocation, Planning, and Scheduling (GRSTAPS). Additionally, it contains the original implementations of ...

More specifically this repo is a copy of the GRSTAPSE repo containing the code for D-ITAGS.

Dependencies

apt

  • libeigen3-dev
  • libgeos-dev
  • libompl-dev

pip

todo

mirrored public repositories

other

Gurobi

We use Gurobi to solve Mixed Integer Linear Programming problems. In order to use this with the docker, you will need to get a Web License (click here) and then put the associated gurobi.lic file in docker/gurobi. The docker-compose will mount that file to the docker container so that it can use gurobi. The license file is in the .gitignore and should under NO circumstance become part of the repository (simply do not change that line and this shouldn't ever be something to worry about). You are responsible for your own gurobi license.

Usage

This library is used to run experiments for academic papers. Instructions to run the experiments for those papers are listed below:

ICRA 2022

TODO

Development

If you are interested in working on the development of this project please to our wiki for information about setting up your coding environment, our coding standards, and workflow.

Citations

Messing, Andrew, and Seth Hutchinson. "Forward Chaining Hierarchical Partial-Order Planning." 
Algorithmic Foundations of Robotics XIV. Springer International Publishing, 2021.
todo
todo

Licensing

See LICENSE# D-ITAGS

D-ITAGS

D-ITAGS