He (Helen) Huang
- Email: hhuang11@ncsu.edu
- Office: 4402D Engineering Building III
- Website: https://bme.unc.edu/peoples/he-helen-huang/
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
- Human factors considerations of Interaction between wearers and intelligent lower-limb prostheses: a prospective discussion
- Bai, X., Yuan, J., Liu, M., Huang, H., & Feng, J. (2024). [Review of , ]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 21(1). https://doi.org/10.1186/s12984-024-01475-x
- 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). [Review of , ]. ANNUAL REVIEW OF BIOMEDICAL ENGINEERING, 26, 503–528. 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
- Toward Task-Independent Optimal Adaptive Control of a Hip Exoskeleton for Locomotion Assistance in Neurorehabilitation
- Zhang, Q., Si, J., Tu, X., Li, M., Lewek, M. D., & Huang, H. (2024, September 19), IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, Vol. 9. https://doi.org/10.1109/TSMC.2024.3454556
- 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
