Hao Su

Associate Professor

Dr. Su is interested in design, learning, and control of soft robots, surgical robots and humanoid robots. He was a Research Scientist working on surgical robots at Philips Research North America, and then a postdoctoral fellow at Harvard University and Wyss Institute for Biologically Inspired Engineering. Prior to joining NC State, he was Irwin Zahn Endowed Assistant Professor at City University of New York, City College.

He received National Science Foundation CAREER Award, Toyota Mobility Challenge Discover Award, Best Medical Robotics Paper Runner-up Award in the IEEE International Conference on Robotics and Automation, and Philips Innovation Transfer Award. He is PI for projects supported by NSF, NIH R01, National Institute on Disability, Independent Living, and Rehabilitation Research, and Toyota Mobility Foundation. In addition to research and teaching, Dr. Su enjoys outdoor activities including jogging and hiking with his family.


A hybrid disturbance observer for delivery drone?s oscillation suppression
Chen, Z., Liu, C., Su, H., Liang, X., & Zheng, M. (2022), MECHATRONICS, 88. https://doi.org/10.1016/j.mechatronics.2022.102907
AI reflections in 2021
Buckner, C., Miikkulainen, R., Forrest, S., Milano, S., Zou, J., Prunk, C., … Marda, V. (2022, January 25), NATURE MACHINE INTELLIGENCE, Vol. 1. https://doi.org/10.1038/s42256-021-00435-7
Age-Dependent Upper Limb Myoelectric Control Capability in Typically Developing Children
Gonzalez, M., Su, H., & Fu, Q. (2022), IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 30, 1009–1018. https://doi.org/10.1109/TNSRE.2022.3166800
Bio-inspired design of a self-aligning, lightweight, and highly-compliant cable-driven knee exoskeleton
Yu, S., Huang, T.-H., Di Lallo, A., Zhang, S., Wang, T., Fu, Q., & Su, H. (2022), FRONTIERS IN HUMAN NEUROSCIENCE, 16. https://doi.org/10.3389/fnhum.2022.1018160
Design and Backdrivability Modeling of a Portable High Torque Robotic Knee Prosthesis With Intrinsic Compliance for Agile Activities
Zhu, J., Jiao, C., Dominguez, I., Yu, S., & Su, H. (2022, June 3), IEEE-ASME TRANSACTIONS ON MECHATRONICS, Vol. 6. https://doi.org/10.1109/TMECH.2022.3176255
Design of a Bio-Inspired Gait Phase Decoder Based on Temporal Convolution Network Architecture With Contralateral Surface Electromyography Toward Hip Prosthesis Control
Chen, Y., Li, X., Su, H., Zhang, D., & Yu, H. (2022), FRONTIERS IN NEUROROBOTICS, 16. https://doi.org/10.3389/fnbot.2022.791169
Editorial: Next Generation User-Adaptive Wearable Robots
Bulea, T. C., Sharma, N., Sikdar, S., & Su, H. (2022, June 22), FRONTIERS IN ROBOTICS AND AI, Vol. 9. https://doi.org/10.3389/frobt.2022.920655
Evaluation of Muscle Synergy During Exoskeleton-Assisted Walking in Persons With Multiple Sclerosis
Afzal, T., Zhu, F., Tseng, S.-C., Lincoln, J. A., Francisco, G. E., Su, H., & Chang, S.-H. (2022), IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 69(10), 3265–3274. https://doi.org/10.1109/TBME.2022.3166705
How can wearable robotic and sensor technology advance neurorehabilitation?
Chang, S.-H., Tseng, S.-C., Su, H., & Francisco, G. E. (2022, October 11), FRONTIERS IN NEUROROBOTICS, Vol. 16. https://doi.org/10.3389/fnbot.2022.1033516
Modeling and Stiffness-Based Continuous Torque Control of Lightweight Quasi-Direct-Drive Knee Exoskeletons for Versatile Walking Assistance
Huang, T.-H., Zhang, S., Yu, S., MacLean, M. K., Zhu, J., Di Lallo, A., … Su, H. (2022), IEEE TRANSACTIONS ON ROBOTICS, 38(3), 1442–1459. https://doi.org/10.1109/TRO.2022.3170287

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Hao Su