Machine Intelligence Laboratory

Cambridge University Department of Engineering

Huijiang Wang Huijiang Wang

Position: Research Student

E-mail: hw567 [at]

Office Location: IE1-04

Supervisor: Professor Fumiya Iida


Huijiang Wang is a PhD student with the Biologically Inspired Robotics Laboratory, Department of Engineering, University of Cambridge, U.K.. He is the European Union’s Marie Sklodowska-Curie ESR fellow in soft robotics. His research interests include bio-inspired robotics, soft robotics, tactile sensing, self-healing materials and machine learning. URL:


Peer-reviewed journals:

Wang, H., Terryn, S., Wang, Z., Van Assche, G., Iida, F., & Vanderborght, B. (2023). Self‐Regulated Self‐Healing Robotic Gripper for Resilient and Adaptive Grasping. Advanced Intelligent Systems, 5(12), 2300223.

Wang, H., Nonaka, T., Abdulali, A., & Iida, F. (2023). Coordinating upper limbs for octave playing on the piano via neuro-musculoskeletal modeling. Bioinspiration & Biomimetics, 18(6), 066009.

Sirithunge, C., Wang, H., & Iida, F. (2024). Soft touchless sensors and touchless sensing for soft robots. Frontiers in Robotics and AI, 11, 1224216.

Legrand, J., Wang, H., Iida, F., & Vanderborght, B. (2023). A Variable Stiffness Anthropomorphic Finger Through Embodied Intelligence Design. IEEE Robotics and Automation Letters.

Wang, Z., Terryn, S., Wang, H., Legrand, J., Safaei, A., Brancart, J., ... & Vanderborght, B. (2023). Self‐Closing and Self‐Healing Multi‐Material Suction Cups for Energy‐Efficient Vacuum Grippers. Advanced Intelligent Systems, 5(10), 2300135.

Peer-reviewed conference proceedings:

Wang, H., Howison, T., Hughes, J., Abdulali, A., & Iida, F. (2022, April). Data-driven simulation framework for expressive piano playing by anthropomorphic hand with variable passive properties. In 2022 IEEE 5th International Conference on Soft Robotics (RoboSoft) (pp. 300-305). IEEE.

Wang, H., Thuruthel, T. G., Gilday, K., Abdulali, A., & Iida, F. (2022, May). Machine learning for soft robot sensing and control: A tutorial study. In 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS) (pp. 01-06). IEEE.

Wang, H., & Iida, F. (2023, October). Self-organization in Piano Playing: Why Pattern Transition?. In IOP Conference Series: Materials Science and Engineering (Vol. 1292, No. 1, p. 012015). IOP Publishing.