SPAR is a framework that leverages the generative capabilities of LLMs to automatically produce valid, diverse, and semantically accurate PDDL domains from natural language input.
Authors: Songhao Huang*, Yuwei Wu*, Guangyao Shi, Gaurav S Sukhatme, Vijay Kumar
Related Paper: Songhao Huang*, Yuwei Wu*, Guangyao Shi, Gaurav S. Sukhatme, and Vijay Kumar. "SPAR: Scalable LLM-based PDDL Domain Generation for Aerial Robotics." arxiv Preprint
If this repo helps your research, please cite our paper at:
@article{huang2025spar,
title={SPAR: Scalable LLM-based PDDL Domain Generation for Aerial Robotics},
author={Huang, Songhao and Wu, Yuwei and Shi, Guangyao and Sukhatme, Gaurav S and Kumar, Vijay},
journal={arXiv preprint arXiv:2509.13691},
year={2025}
}
- dataset: please check the folder uav_domain_benchmark/
This repo is currently under maintenance. For any technical issues, please contact Yuwei Wu (yuweiwu@seas.upenn.edu, yuweiwu20001@outlook.com).