On the Efficiency of LoRA Fine-Tuning for Vision-Language-Action Models in Industrial Robotic Manipulation. Ferchau, F., Pommer, D., & Axenie, C. In Artificial Neural Networks and Machine Learning–ICANN 2026: 35th International Conference on Artificial Neural Networks, Padua, Italy, September 14–17, 2026, Proceedings, Part V, pages 191, 2026. Springer Nature.
On the Efficiency of LoRA Fine-Tuning for Vision-Language-Action Models in Industrial Robotic Manipulation [link]Paper  doi  bibtex   
@inproceedings{ferchau2026efficiency,
  title={On the Efficiency of LoRA Fine-Tuning for Vision-Language-Action Models in Industrial Robotic Manipulation},
  author={Ferchau, Finn and Pommer, Daniel and Axenie, Cristian},
  booktitle={Artificial Neural Networks and Machine Learning--ICANN 2026: 35th International Conference on Artificial Neural Networks, Padua, Italy, September 14--17, 2026, Proceedings, Part V},
  pages={191},
  year={2026},
  doi = {https://doi.org/10.1007/978-3-032-38404-1_16},
  url = {https://link.springer.com/chapter/10.1007/978-3-032-38404-1_16},
  organization={Springer Nature}
}

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