DECISION Ground on the Loop Autonomy Planning Tool
DECISION uses Conda to maintain dependancy versions. Follow the instruction here
to set up the DECISION conda environment.
Run the follow commands to recursively collect and update submodules.
cd DECISION
git submodule init
git submodule update --recursive
If encountering an error, download the submodule directly from the repository (https://github.com/JPLMLIA/OWLS-Autonomy.git) and put it in decision/OSIA/OWLS-Autonomy/
DECISION runs the ACME OSIA algorithm inside a docker container. To build this container run the following commands.
cd DECISION/decision/OSIA/OWLS-Autonomy/
docker build . -f Dockerfile_ACME --tag owls-autonomy-acme:v1
Default RAM allocated to Docker containers can be too low if you're attempting to optimize many ACME observations at once. RAM allocation can be increased from the Docker desktop application under gear icon->Resources->Memory. We recommend running the ACME Docker container with 10-12GB of RAM if your system allows.
Demo data to use with DECISION can be found at https://ml.jpl.nasa.gov/projects/decision/ACME_Demo_Data.zip. Unzip this repository and place it in DECISION/decision/data/.
DECISION utilizes Dakota for parameter optimization. Follow instructions at https://dakota.sandia.gov/installation/ to install Dakota.
Verify installation by running DECISION unit tests. This is accomplished with the following commands. Test coverage reports will be generated in docs/coverage_report/. View docs/coverage_report/index.html for a summary of testing results.
cd DECISION/decision/
pytest -rP --ignore=OSIA --disable-warnings --cov=decision --cov-report html:docs/coverage_report test/ -v
Start DECISION using the following commands.
cd DECISION/decision/
python decision.py
From a web browser visit http://127.0.0.1:8050/ to see the DECISION application. We recommend Google Chrome for optimal compatibility.
Copyright 2023, by the California Institute of Technology. ALL RIGHTS RESERVED. United States Government Sponsorship acknowledged. Any commercial use must be negotiated with the Office of Technology Transfer at the California Institute of Technology.
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