He (Helen) Huang

Helen’s research interest lies in science and technology that can establish and enhance a symbiotic relationship between humans and wearable assitive machines in order to augment motor function for individuals with disabilities. Her research goal is to create breakthroughs in human-machine symbiotic (HMS) systems that empower disabled people to lead more active and productive lives.

 

 

 

 

 

To achieve this overarching goal, her current research focuses on understanding how limb amputees and robotic prostheses interact with each other and their environments and development of advanced control for robotic prostheses, which are adaptive, efficient, and safe, in order to restore the motor function in individuals with limb amputations. Three research thrusts have been formulated in my lab:

Thrust 1: Investigation of neuromuscular control and sensorimotor integration in limb amputees and development of neural-machine interfaces for neural control of robotic prosthetic limbs

Thrust 2: Investigation of wearer-machine co-adaptation and development of optimal adaptive control for robotic prostheses that provide personalized assistance and can adapt to changes in wearers and environments.

Thrust 3: Investigation of error correction and tolerance in human-machine symbiotic (HMS) systems and development of fault tolerant control for robotic prosthetic legs to improve the wearer’s stability and safety

*For current projects and open opportunities, check our lab or CLEAR websites

Research Interests

Wearable robotics
Neural-machine interface
Robotic prosthetics and exoskeleton
Optimal adaptive control
Human-robot interaction

Publications

Abduction/Adduction Assistance From Powered Hip Exoskeleton Enables Modulation of User Step Width During Walking
Alili, A., Fleming, A., Nalam, V., Liu, M., Dean, J., & Huang, H. (2024), IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 71(1), 334–342. https://doi.org/10.1109/TBME.2023.3301444
Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes
Liu, Y., Berman, J., Dodson, A., Park, J., Zahabi, M., Huang, H., … Kaber, D. B. (2024, April 11), IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol. 4. https://doi.org/10.1109/thms.2024.3381094
Integrating Upper-Limb Prostheses with the Human Body: Technology Advances, Readiness, and Roles in Human–Prosthesis Interaction
Huang, H., Hargrove, L. J., Ortiz-Catalan, M., & Sensinger, J. W. (2024), Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev-bioeng-110222-095816
Modified motor unit properties in residual muscle following transtibial amputation
Rubin, N., Hinson, R., Saul, K., Filer, W., Hu, X., & Huang, H. (2024), JOURNAL OF NEURAL ENGINEERING, 21(1). https://doi.org/10.1088/1741-2552/ad1ac2
NSF DARE-Transforming modeling in neurorehabilitation: Four threads for catalyzing progress
Valero-Cuevas, F. J., Finley, J., Orsborn, A., Fung, N., Hicks, J. L., Huang, H., … Steele, K. M. (2024). [Review of , ]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 21(1). https://doi.org/10.1186/s12984-024-01324-x
1-D Manual Tracing Based on a High Density Haptic Stimulation Grid - a Pilot Effort
Driscoll, B., Liu, M., & Huang, H. (2023), 2023 IEEE WORLD HAPTICS CONFERENCE, WHC, pp. 375–381. https://doi.org/10.1109/whc56415.2023.10224505
A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis
Alili, A., Nalam, V., Li, M., Liu, M., Feng, J., Si, J., & Huang, H. (2023), IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 895–903. https://doi.org/10.1109/TNSRE.2023.3236217
A Robotic Assistance Personalization Control Approach of Hip Exoskeletons for Gait Symmetry Improvement
Zhang, Q., Tu, X., Si, J., Lewek, M. D., & Huang, H. (2023), 2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp. 6125–6132. https://doi.org/10.1109/IROS55552.2023.10341440
A Wearable Robotic Rehabilitation System for Neuro-rehabilitation Aimed at Enhancing Mediolateral Balance
Yu, Z., Nalam, V., Alili, A., & Huang, H. (2023), 2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS, pp. 155–160. https://doi.org/10.1109/IROS55552.2023.10341735
A simplified model for whole-body angular momentum calculation
Liu, M., Naseri, A., Lee, I.-C., Hu, X., Lewek, M. D., & Huang, H. (2023), MEDICAL ENGINEERING & PHYSICS, 111. https://doi.org/10.1016/j.medengphy.2022.103944

View all publications via NC State Libraries

He (Helen) Huang