Code for the paper "Action Flow Matching for Continual Robot Learning" presented at Robotics: Science and Systems (RSS) 2025.
AFM enables efficient, non-episodic, online robot model refinement. AFM adjusts the planned actions seeking to reduce the gap between the intended and realized state transitions.
If you use this code, please cite our paper:
@article{murillogonzalez2025afm,
title={Action Flow Matching for Continual Robot Learning},
author={Murillo-Gonzalez, Alejandro and Liu, Lantao},
journal={Robotics: Science and Systems (RSS)},
year={2025}
}
For questions or issues, please contact:
- Alejandro Murillo-Gonzalez: almuri@iu.edu
Feel free to open GitHub issues or pull requests for contributions.