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DIDS-EI / LLM-OBTEA

Source codes for the paper "Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human Instructions" (IJCAI 2024)
MIT License
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Integrating Intent Understanding and Optimal Behavior Planning for Behavior Tree Generation from Human instructions (IJCAI 2024)

[Website] [arXiv]

This repository contains the code for our project, which is divided into three main sections:

  1. LLM Folder: This directory contains the code for the Large Language Models (LLM). It encompasses all the scripts and modules necessary to run and implement the large-scale language model functionalities of our project.

  2. OBTEA Folder: Here, you will find the code for the Behavior Tree Backward Expansion Algorithm (OBTEA). This section includes the implementation details and the necessary scripts for executing the behavior tree-based algorithms.

  3. RoboWaiter Folder: It contains code for deploying our algorithms in a café's digital twin scenario, showcasing the practical application of our research in simulating and enhancing café service operations.

    👉 Download Simulator

We are committed to continuously updating and improving this repository, so stay tuned for future enhancements and additions.

License

This repository is released under the MIT license as found in the LICENSE file.