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Here is the full list of publications


H. Huang, L. Hargrove, M. Ortiz-Catalan, J Sensinger, “Integrating upper-limb prostheses with the human body: technology advances, readiness, and roles in human–prosthesis interaction”, Annual Review of Biomedical Engineering, 2024
Y Liu, J Berman, A Dodson, J Park, M Zahabi, H Huang, D. Kaber, “Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes“, IEEE Transactions on Human-Machine Systems, 2024

N. Rubin, R. Hinson, K. Saul, W. Filer, X Hu, H. Huang, “Modified motor unit properties in residual muscle following transtibial amputation”, Journal of Neural Engineering, 2024


N. Rubin, R. Hinson, K. Saul, X Hu, H. Huang, “Ankle Torque Estimation with Motor Unit Discharges in Residual Muscles following Lower-Limb Amputation“, IEEE Trans on Neural System and Rehabilitation Engineering,  2023

A. Naseri, IC Lee, H. Huang, M. Liu*, “Investigating the Association of Quantitative Gait Stability Metrics with User Perception of Gait Interruption due to Control Faults during Human-Prosthesis Interaction”, IEEE Trans on Neural System and Rehabilitation Engineering,  2023

A. Fleming, W. Liu, and H Huang. “Neural Prosthesis Control Restores Near-Normative Neuromechanics in Standing Postural Control“, Science Robotics, 8, eadf5758, 2023

LE Fisher*, RA Gaunt, and H Huang. “Sensory Restoration for Improved Motor Control of Prostheses.Current Opinion in Biomedical Engineering, 100498, 2023

A. Abbas, A Fleming, V Nalam, M Liu, J Dean, and H Huang. “Abduction/Adduction Assistance From Powered Hip Exoskeleton Enables Modulation of User Step Width During Walking.” IEEE Transactions on Biomedical Engineering, 2023 (Accepted)

Perspective Article by H Huang and IC Lee: “AI enables symbiotic robotic prosthetics” in “Artificial intelligence meets medical robotics“, Science Magazine, 2023

R. Hinson, J. Berman, IC Lee, W. Filler, H. Huang, “Offline Evaluation Matters: Investigation of the Influence of Offline Performance of EMG-based Neural-Machine Interfaces on User Adaptation, Cognitive Load, and Physical Efforts in a Real-Time Application”, IEEE Trans on Neural System and Rehabilitation Engineering, 2023, (Accepted)

J Park, J Berman, A Dodson, J Liu, M Armstrong , H Huang, D Kaber, J Ruiz, M Zahabi. “Assessing Workload in Using Electromyography (EMG)-based Prostheses“. Ergonomics. 2023

A. Alili, V. Nalam, M. Li, M. Liu, J. Feng, J. Si, H Huang, “A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis“, IEEE Trans on Neural System and Rehabilitation Engineering, 2023

M Liu*, A. Naseri, IC Lee, X. Hu, M. Lewek, H Huang, “A Simplified Model for Whole-body Angular Momentum Calculation“, Medical Engineering and Physics, 111, 103944, 2023


BL Fylstra, IC Lee, M. Lewek, H. Huang, “Human-prosthesis cooperation: combining adaptive prosthesis control with visual feedback guided gait”, Journal of NeuroEngineering and Rehabilitation, 2022

R. Hinson, J. Berman, W. Filler, D. Kamper, H. Huang, “Offline Evaluation Matters: Investigation of the Influence of Offline Performance on Real-time Operation of Electromyography-based Neural-Machine Interfaces”, IEEE Trans on Neural System and Rehabilitation Engineering, 2022, (Accepted)

M. Li, W. Liu, J. Si, J. Stallrich, H. Huang*, “Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Gait Symmetry”, IEEE Trans on Biomedical Engineering, 2022 (Accepted)

J. Berman, R. Hinson, I Lee, H. Huang, “Harnessing Machine Learning and Physiological Knowledge for a Novel EMG-Based Neural-Machine Interface”, IEEE Trans on Biomedical Engineering, 2022 (Accept)

I. Lee, M. Liu, M. Lewek, X. Hu, W. Filer, H. Huang, “Towards Safe Wearer-Prosthesis Interaction: Evaluation of Gait Stability and Human Compensation Strategy under Faults in Robotic Transfemoral Prostheses”, IEEE Trans on Neural System and Rehabilitation Engineering, 2022, (Accepted)

Q Zhang, V. Nalam, X. Tu, M. Li, J. Si, M. Lewek, H. Huang, “Imposing Healthy Hip Movement Pattern and Range by Exoskeleton Control for Individualized Assistance”, IEEE Robotic and Automation Letter, 2022

W Liu, R. Wu, J. Si, H. Huang, “A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning”, IEEE Robotic and Automation Letter, 2022

A. Naseri, M Liu, IC Lee, W. Liu, H. Huang, “Characterizing Prosthesis Control Fault during Human-Prosthesis Interactive Walking Using Intrinsic Sensors”, IEEE RAL, 2022

R. Hinson, K Saul, D. Kamper, H. Huang “Sensitivity Analysis Guided Improvement of an Electromyogram-driven Lumped Parameter Musculoskeletal Hand Model”, J of Biomechanics, 2022

R. Wu, M. Li, W. Liu, Z. Yao, J. Si, H Huang, “Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate with Human Intact Knee MotionIEEE Robotic and Automation Letter, 2022

J Yuan, X. Bai, B. Driscoll, M. Liu, Huang, F. Jing, “Standing and Walking Attention Visual Field (SWAVF) Task: A New Method to Assess Visuospatial Attention During Walking”, Applied Ergonomics, 2022

M. Li, B. Zhong, E. Lobaton, H Huang, “Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode“, IEEE Trans Neural System and Rehabilitation, 2022

IC Lee, B Fylstra, M Liu, T Lenzi, H Huang,Is there a trade-off between economy and task goal variability in transfemoral amputee gait?” Journal of NeuroEngineering and Rehabilitation, 2022

N. Rubin, Y. Zheng, H. Huang, X. Hu, “Finger Force estimation of individual fingers using motor unit discharges across multiple forearm postures”, IEEE Trans on Biomed Engr, 2022

V Nalam, X Tu, M Li, M Liu, J. Si, H. Huang, “Admittance Control based Human-in-the-loop Optimization for Hip Exoskeleton: A New Approach “, 2022 IEEE ICRA, 2022 (Accepted)

W Liu, J. Zhong, R. Wu, B. Flystra, J Si, H. Huang, “ Inferring Human-Robot Performance Objectives during Locomotion using Inverse Reinforcement Learning and Inverse Optimal Control”, IEEE Robotic and Automation Letter, 2022


V Nalam, H. Huang, “Empowering prosthesis users with a hip exoskeleton“, Nature Medicine, 2021 (Invited Views and News paper)

M Li, Y. Wen, X. Gao, J. Si, H. Huang, “Towards Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control”, IEEE Trans Robotics, 2021

A Fleming, N. Stafford, S. Huang, X. Hu, DP Ferris*, H Huang*, “Myoelectric Control of Robotic Lower Limb Prostheses: A Review of Electromyography Interfaces, Control Paradigms, Challenges and Future Directions”, Journal of Neural Engineering, 2021 (Accepted)

H. Huang, J. Si, A. Brandt, M. Li, “Taking Both Sides: Seeking Symbiosis Between Intelligent Prostheses and Human Motor Control during Locomotion“, Current Opinion on Biomedical Engineering (invited paper), 2021

D. Farina., Vujaklija, I., Brånemark, R., Bull, A.M., Dietl, H., Graimann, B., Hargrove, L.J., Hoffmann, K.P., Huang, H.H., Ingvarsson, T. Janusson, H.B., K Kristjansson, T. Kuiken, S. Micera, T. Stieglitz, A. Sturma, D. Tyler, R. Weir, and OC Aszmann; “Toward higher-performance bionic limbs for wider clinical use“, Nature Biomedical Engineering, pp.1-13. 2021

B. Zhong, R. L. da Silva, M. Tran, H. Huang and E. Lobaton, “Efficient Environmental Context Prediction for Lower Limb Prostheses,IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021

X Gao; Si, J; Wen, Y; Li, M; Huang, H, “Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration“, IEEE Trans on Neural Network and Learning Systems, 2021

L Pan, H Huang, “A Robust Model-Based Neural-Machine Interface across Different Loading Conditions”, Biomedical Signal Processing and Control, 2021

A Fleming, S. Huang, E. Buxton, F. Hodges, He Huang,Direct Continuous EMG control of a Powered Prosthetic Ankle for Improved Postural Control after Guided Physical Training: a Case Study”, Wearable Technology, 2021

Tabor, Jordan, Talha Agcayazi, Aaron Fleming, Brendan Thompson, Ashish Kapoor, Ming Liu, Michael Lee, He Huang, Alper Bozkurt, and Tushar K. Ghosh. “Textile-based Pressure Sensors for Monitoring Prosthetic-Socket Interfaces.” IEEE Sensors Journal, 2021

Wu, Ruofan, Minhan Li, Zhikai Yao, and Jennie Si. He Huang, “Reinforcement Learning Enabled Automatic Impedance Control of a Robotic Knee Prosthesis to Mimic the Intact Knee Motion in a Co-Adapting Environment.” arXiv preprint arXiv:2101.03487, 2021.

Yuan, J,  E. Cline, M. Liu, H Huang, J. Feng*, “Cognitive measures during walking with and without lower-limb prosthesis: protocol for a scoping review”, BMJ Open, 2021 (Accepted)

W. Wu, K Saul, He Huang* “Using reinforcement learning to estimate joint moments: An alternative solution to musculoskeletal-based biomechanics”, ASME Journal of Biomechanical Engineering, 2021

X Tu, M Li, M Liu, J Si, H Huang, “A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton“, IEEE ICRA, 2021

Alili, V Nalam, M Li, M Liu, J Si, H. Huang, “User Controlled Interface for Tuning Robotic Knee Prosthesis” 2021 IEEE/RSJ IROS 2021 (Accepted)

S. Upadhye, C. Shah, M Liu, G. Buckner, H. Huang, “A Powered Prosthetic Ankle Designed for Task Variability, Energy Efficiency, and Safety-A Concept Validation” 2021 IEEE/RSJ IROS 2021

J Berman, R Hinson, H Huang, “Comparing Reinforcement Learning Agents and Supervised Learning Neural Networks for EMG-Based Decoding of Continuous Movements”, IEEE EMBC, 2021

F Popp, M Liu, H Huang, “Development of a Wearable Human-Machine Interface to Track Forearm Rotation via an Optical Sensor”, IEEE EMBC, 2021

W Liu, A Fleming, IC Lee, H Huang “Direct myoelectric control modifies lower limb functional connectivity: a case study”, IEEE EMBC, 2021

N Rubin, W Liu, X Hu, H Huang, “Common Neural Input within and across Lower Limb Muscles: A preliminary Study”, IEEE EMBC, 2021


IC. Lee*, M. Pacheco, M. Lewek, H. Huang, “Perceiving amputee gait from biological motion: kinematics cues and effect of experience level”, Scientific Reports, 2020 (Accepted)

B. Fylstra, IC Lee, S Huang, A. Brandt, M. Lewek, H. Huang*, “Human-Prosthesis Coordination: A Preliminary Study Exploring Coordination With A Powered Ankle-Foot Prosthesis”, Clinical Biomechanics, 2020 (Accepted)

M. Liu*, D. Kamper, H. Huang,An Easy-to-Use Socket-Suspension Monitoring System for Lower Limb Amputees”, IEEE Transactions on Instrumentation & Measurement, 2020 (Accepted)

B. Zhong, H. Huang*, E. Lobaton*, “Reliable Vision-Based Grasping Target Recognition for Upper-limb Prostheses”, IEEE Trans on Cybernetics, 2020 (Accepted)

L. Pan, L. Vargas, X. Hu, Y. Zhu, H. Huang*, “Evoking Haptic Sensations in the Foot through High-Density Transcutaneous Electrical Nerve Stimulations”, Journal of Neural Engineering, 2020 (Accepted)

Y. Wen, M. Li, J. Si, H. Huang*, “Wearer-Prosthesis Interaction for Symmetrical Gait: A Study Enabled by Reinforcement Learning Prosthesis Control“, IEEE Transactions on Neural System and Rehabilitation Engineering, 2020

B. Zhong, RL da Silva, M. Li, H. Huang*, E. Lobaton*, “Environmental context Prediction for Lower Limb Prosthesis with Uncertainty Quantification”, IEEE Trans on Automation Science and Engineering, 2020 (Accepted)

M. McKnight, J. Tabor, T. Agcayazi, A. Fleming, T. Ghosh, H. Huang, A. Bozkurt*, “Fully-textile Insole Seam-line for Multi-modal Sensor Mapping”, IEEE Sensor, 2020 (Accepted)

J. Stallings*, MD Islam, AM Staicu, D. Crouch, L. Pan, H Huang, “Optimal EMG Placement for a Robotic Prosthesis Controller with Sequential, Adaptive Functional Estimation”, Annals of Applied Statistics, 2020 (Accepted)

L. Vargas, H Huang, Y. Zhu, X. Hu*; “Object Shape and Surface Topology Recognition using Haptic Feedback Evoked through Peripheral Nerve Stimulation.” IEEE Trans. On Haptics, 2020

X. Gao, J. Si, Y. Wen, M. Li, H Huang, “Knowledge-Guided Reinforcement Learning Control for Robotic Lower Limb Prosthesis”, IEEE ICRA, 2020

Fleming, W Liu, H Huang, “Neural Coherence of Homologous Muscle Pairs during Direct EMG Control of Standing Posture in Transtibial Amputees”, 2020 International Conference on Neurorehabilitation (ICNR), 2020

R Wu, M Li, J Si and H Huang, “Understanding Human-Prosthesis Interaction via Reinforcement Learning-based Echo Control: A case study”, 2020 International Conference on Neurorehabilitation (ICNR), 2020


A. Brandt*, H. Huang, “Effects of Extended Stance Time on a Powered Knee Prosthesis and Gait Symmetry on Unilateral Amputees’ Lateral Control of Balance during Walking”, Journal of Neuroengineering and Rehabilitation, 16:151, 2019

A. Brandt, W. Riddick, J. Stallrich, M. Lewek, H. Huang, Effects of Extended Powered Knee Prosthesis Stance Time via Visual Feedback on Gait Symmetry of Individuals with Unilateral Amputation: A Preliminary Study, Journal of NeuroEngineering and Rehabilitation, 16:112, 2019

L. Pan, D. Crouch, H. Huang, Comparing EMG-based human-machine interfaces for estimating continuous, coordinated movements, IEEE Transactions on Neural System and Rehabilitation Engineering, 2019 (Accepted)

T. Zhang, H. Huang, Design and Control of a Series Elastic Actuator with Clutch for Hip Exoskeleton for Precise Assistive Magnitude and Timing Control and Improved Mechanical Safety, IEEE Trans Mechatronics, 2019 (Accepted)

A. Fleming, S. Huang, H. Huang, Proportional Myoelectric Control of a Virtual Inverted Pendulum using Residual Antagonistic Muscles: Toward Voluntary Postural Control, IEEE Trans Neural System and Rehabilitation, 27(7), 1473-82, 2019

T. Zhang, M. Tran, H. Huang, Admittance Shaping-based Assistive Control of SEA-driven Robotic Hip Exoskeleton, IEEE Trans Mechatronics, 24(4), pp. 1508 – 1519, 2019

S. Huang, H. Huang, Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Reciprocal Activation, Co-activation, and Implications for Direct Neural Control of Powered Lower Limb Prostheses, IEEE Transactions on Neural System and Rehabilitation Engineering, 27(1), pp. 85-95, 2019

Y. Wen, J Si, A. Brandt, X. Gao, H. Huang*, Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis, IEEE Transactions on Cybernetics, 2019 (in press)

M. Zahabi, M White, W Zhang, AT. Winslow, F Zhang, H Huang, DB Kaber*, Application of Cognitive Task Performance Modeling for Assessing Usability of Transradial Prostheses, IEEE Human-Machine Systems, 49(4), 381-7; 2019

L. Vagars, G. Whitehouse, H. Huang, Y. Zhu, X. Hu, Evoked Haptic Sensation in the Hand with Concurrent Non- Invasive Nerve Simulation, IEEE Trans on Biomedical Engineering, 2019 (Accepted)

M. Li, X. Gao, Y. Wen, J. Si, H Huang, Offline policy interaction-based reinforcement learning controller for online robotic knee prosthesis parameter tuning, IEEE ICRA, 2019 (Accepted)

M. Li, et al. Gaze Fixation Comparisons Between Amputees and Able-bodied Individuals in Approaching Stairs and Level-ground Transitions: A pilot study, Conf Proc IEEE Eng Med Biol Soc, 2019 (Accepted)

M. Liu, A. Lupiani, H. Huang, Identify Kinematic Features for Powered Prosthesis Tuning, IEEE ICORR, 2019 (Accepted)

A Fleming, H. Huang, Proportional Myoelectric Control of a Powered Ankle Prosthesis for Postural Control under Expected Perturbation: A Pilot Study, IEEE ICORR, 2019 (Accepted)