SoftTex: Soft robotic arm with learning-based textile proprioception

This work presents a machine learning-based approach for proprioception in soft robots, leveraging recurrent neural networks trained on sensor and actuation data to accurately estimate the robot's position while maintaining its inherent compliance.

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This article is published in IEEE Robotics and Automation Letters (RA-L): IEEE Xplore Link

🤝 Citation

If you found this useful, you could cite the article as follows:

@article{pagliarani2025softtex,
  title={SoftTex: Soft robotic arm with learning-based textile proprioception},
  author={Pagliarani, Niccol{\`o} and Alessi, Carlo and Arleo, Luca and Campinoti, Giulia and Maselli, Martina and Falotico, Egidio and Cianchetti, Matteo},
  journal={IEEE Robotics and Automation Letters},
  year={2025},
  publisher={IEEE}
}

📬 Contacts

For questions or collaborations regarding Machine Learning-based proprioception, contact @carlo-alessi.