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

A Lightweight Robotic Lower-Limb Prosthesis With Unified Knee and Ankle Actuators
Haque, M. R., Hong, W., Shetty, V. V., Dodson, A., Nalam, V., Huang, H., & Shen, X. (2026, January 6), Journal of Medical Devices. https://doi.org/10.1115/1.4070781
Data from: Projecting the new body: How body image evolves during learning to walk with a wearable robot
Lee, I.-C., Min, H., Liu, M., & Huang, H. (2026), Open MIND, Vol. 1. https://doi.org/10.5061/dryad.6hdr7srf6
Efficient and Scalable Tuning of Continuous Impedance Control for Powered Knee Prostheses
Hong, W., Naseri, A., & Huang, H. (2026, February 27), IEEE Robotics and Automation Letters, Vol. 1. https://doi.org/10.1109/lra.2026.3668449
Projecting the new body: How body image evolves during learning to walk with a wearable robot
Lee, I.-C., Min, H., Liu, M., & Huang, H. (2026, February 1), (L. Kavraki, Ed.). PNAS Nexus. https://doi.org/10.1093/pnasnexus/pgag016
Towards adaptive optimal personalization control of robotic hip exoskeleton assistance for individuals with paretic stroke
Zhang, Q., Chen, Y., Lewek, M., Si, J., & Huang, H. (2026, January 1), IEEE Transactions on Biomedical Engineering, Vol. 1. https://doi.org/10.1109/tbme.2026.3685273
Virtual Reality as a Platform for Upper-Limb Prosthetic Control Modes Evaluation and Early-Stage Design
Liu, Y., Park, J., Delgado, D., Music, A., Berman, J., Ruiz, J., … Zahabi, M. (2026, January 1), IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2026.3652083
A novel approach to assess coordination in people with transtibial amputations using continuous and event relative phase
Mituniewicz, A. L., Nalam, V., & Huang, H. H. (2025, January 10), Journal of Biomechanics, Vol. 181. https://doi.org/10.1016/j.jbiomech.2025.112522
Addressing Human–Robot Symbiosis via Bilevel Optimization of Robotic Knee Prosthesis Control
Liu, W., Nalam, V., Si, J., & Huang, H. (2025, November 18), IEEE Transactions on Robotics. https://doi.org/10.1109/tro.2025.3634368
An Offline Reinforcement Learning-Based Auto-Tuning Framework for Continuous Impedance Control in Powered Prostheses
Hong, W., Alili, A., & Huang, H. H. (2025, May 12), 2025 International Conference On Rehabilitation Robotics (ICORR), pp. 1829–1834. https://doi.org/10.1109/icorr66766.2025.11063218
Autonomous Slip-Prevention Grip Force Control and Its Potential in Shared Control of Robotic Prosthetic Hands
Berman, J., Nalam, V., Yin, J., & Huang, H. (2025, December 15), IEEE Transactions on Medical Robotics and Bionics. https://doi.org/10.1109/tmrb.2025.3644009

View all publications via NC State Libraries

He (Helen) Huang