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.

  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.

  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.

  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.

  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.

  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.

  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).

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