CDC2026: Goal-Conditioned Neural ODEs with Guaranteed Safety and Stability for Learning-Based All-Pairs Motion Planning
This repository contains the code for our CDC2026 submission: Dechuan Liu, Ruigang Wang, and Ian R. Manchester, Goal-Conditioned Neural ODEs with Guaranteed Safety and Stability for Learning-Based All-Pairs Motion Planning.
This code has been tested with Python 3.12.3.
To train the models, run following script to train and save the models:
For any questions or bugs, please raise an issue or contact Ruigang (Ray) Wang (ruigang.wang@sydney.edu.au) or Dechuan Liu (dechuan.liu@sydney.edu.au)