# Bibliography

1. [Liu, X., Han, X., Hong, W., Wan, F., & Song, C. (2024). Proprioceptive learning with soft polyhedral networks. *The International Journal of Robotics Research*, 43(12), 1916-1935.](https://doi.org/10.1177/02783649241238765)
2. [Guo, N., Han, X., Zhong, S., Zhou, Z., Lin, J., Dai, J. S., ... & Song, C. (2024). Proprioceptive state estimation for amphibious tactile sensing. *IEEE Transactions on Robotics*, 40*,* 4662 - 4676.](https://doi.org/10.1109/TRO.2024.3463509)
3. [Guo, N., Han, X., Zhong, S., Zhou, Z., Lin, J., Wan, F., & Song, C. (2024). Reconstructing Soft Robotic Touch via In‐Finger Vision. *Advanced Intelligent Systems*, 6(10), 2400022.](https://doi.org/10.1002/aisy.202400022)
4. [Guo, N., Han, X., Liu, X., Zhong, S., Zhou, Z., Lin, J., ... & Song, C. (2024). Autoencoding a Soft Touch to Learn Grasping from On‐Land to Underwater. *Advanced Intelligent Systems*, *6*(1), 2300382.](https://doi.org/10.1002/aisy.202300382)
5. [Wu, T., Dong, Y., Liu, X., Han, X., Xiao, Y., Wei, J., ... & Song, C. (2024). Vision-based tactile intelligence with soft robotic metamaterial. *Materials & Design*, *238*, 112629.](https://doi.org/10.1016/j.matdes.2024.112629)
6. [Han, X., Guo, N., Xu, R., Wan, F., & Song, C. (2025). Anchoring Morphological Representations Unlocks Latent Proprioception in Soft Robots. *Advanced Intelligent Systems*, 2500444.](https://doi.org/10.1002/aisy.202500444)
7. [Wan, F., Liu, X., Guo, N., Han, X., Tian, F., & Song, C. (2022). Visual learning towards soft robot force control using a 3D metamaterial with differential stiffness. In *Conference on Robot Learning* (pp. 1269-1278).](https://proceedings.mlr.press/v164/wan22a)


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