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
- A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning
- Liu, W., Wu, R., Si, J., & Huang, H. (2022), IEEE ROBOTICS AND AUTOMATION LETTERS, 10. https://doi.org/10.1109/LRA.2022.3194326
- Characterizing Prosthesis Control Fault During Human-Prosthesis Interactive Walking Using Intrinsic Sensors
- Naseri, A., Liu, M., Lee, I.-C., Liu, W., & Huang, H. (2022), IEEE ROBOTICS AND AUTOMATION LETTERS, 7. https://doi.org/10.1109/LRA.2022.3186503
- Evoked Tactile Feedback and Control Scheme on Functional Utility of Prosthetic Hand
- Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2022), IEEE ROBOTICS AND AUTOMATION LETTERS, 4, 1–1. https://doi.org/10.1109/LRA.2021.3139147
- Finger Force Estimation Using Motor Unit Discharges Across Forearm Postures
- Rubin, N., Zheng, Y., Huang, H., & Hu, X. (2022), IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 9. https://doi.org/10.1109/TBME.2022.3153448
- Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode
- Li, M., Zhong, B., Lobaton, E., & Huang, H. (2022), IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. https://doi.org/10.1109/TNSRE.2022.3168796
- Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control
- Liu, W., Zhong, J., Wu, R., Fylstra, B. L., Si, J., & Huang, H. (2022), IEEE ROBOTICS AND AUTOMATION LETTERS, 4. https://doi.org/10.1109/LRA.2022.3143579
- Introduction to the Special Section on Wearable Robots
- Moreno, J. C., Vitiello, N., Walsh, C., Huang, H., & Mohammed, S. (2022, June), IEEE TRANSACTIONS ON ROBOTICS, Vol. 6. https://doi.org/10.1109/TRO.2022.3176744
- Is there a trade-off between economy and task goal variability in transfemoral amputee gait?
- Lee, I.-C., Fylstra, B. L., Liu, M., Lenzi, T., & Huang, H. (2022), JOURNAL OF NEUROENGINEERING AND REHABILITATION, 3. https://doi.org/10.1186/s12984-022-01004-8
- Neural Coherence of Homologous Muscle Pairs During Direct EMG Control of Standing Posture in Transtibial Amputees
- Fleming, A., Liu, W., & Huang, H. (2022), In Biosystems & Biorobotics (pp. 139–143). https://doi.org/10.1007/978-3-030-70316-5_23
- Object Recognition via Evoked Sensory Feedback during Control of a Prosthetic Hand
- Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2022), IEEE ROBOTICS AND AUTOMATION LETTERS, 1. https://doi.org/10.1109/LRA.2021.3122897
