This repository contains codes for Q-ITAGS: Quality-Optimized Spatio-Temporal Heterogeneous Task Allocation with a Time Budget.
Please refer to the wikipage for a detailed instruction on how to setup this codebase using Docker.
Note: We list all the dependencies down below to recognize the libraries that we use; however, all development should be done in the docker container. Any issues from trying to create a local environment will not be a priority.
- libboost-all-dev
- libeigen3-dev
- libgeos-dev
- libompl-dev
- libyaml-cpp-dev
Currently none
- benchmark (original)
- cli11 (original)
- fmt (original)
- googletest (original)
- json (original)
- magic enum (original)
- robin-hood-hashing (original)
- spdlog (original)
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 run.sh
script in the docker folder 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.
This library is used to run experiments for academic papers. Instructions to run the experiments for those papers are listed below:
If you are interested in working on the development of this project please go to our wiki for information about setting up your coding environment, our coding standards, and workflow.
Messing, A., Neville, G., Chernova, S., Hutchinson, S., & Ravichandar, H. (2021).
GRSTAPS: Graphically Recursive Simultaneous Task Allocation, Planning, and Scheduling.
The International Journal of Robotics Research.
See LICENSE