Skip to content

Code for ICRA-25 "Bootstrapping Object-level Planning with LLMs"

License

Notifications You must be signed in to change notification settings

davidpaulius/olp_llm

Repository files navigation

olp_llm: Bootstrapping Object-Level Planning with Large Language Models

NOTE: This code is for the ICRA 2025 paper entitled "Bootstrapping Object-Level Planning with Large Language Models" (Authors: David Paulius, Alejandro Agostini, Benedict Quartey, and George Konidaris).

Preliminaries:

I. Cloning Repository

You will need to clone this repository and recursively clone and download its submodules using the following commands:

git clone https://github.com/davidpaulius/olp_llm --recursive
git submodule update --remote --merge --recursive

II. CoppeliaSim

You will need to download the CoppeliaSim simulator and set up its Python API using the following pip command:

python3 -m pip install coppeliasim-zmqremoteapi-client

III. Python Requirements

pip3 install -r requirements.txt

How to Run

Simply run the Jupyter Notebook script named ICRA25_pipeline.py once you have set everything up as above. You can change the task setting by modifying the code as well as set the OpenAI GPT model of your choice.

Further Details on OMPL in CoppeliaSim

To deeply understand what's happening in the code, I would recommend going through the tutorials (yes, I know...) that are available online. There may be specific things you require for your own planning problem, so you should definitely consult the forums.

Questions? Comments? Feedback?

Feel free to reach out to me via email!