He Huang

Alili, A., Fleming, A., Nalam, V., Liu, M., Dean, J., & Huang, H. (2024). Abduction/Adduction Assistance From Powered Hip Exoskeleton Enables Modulation of User Step Width During Walking. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 71(1), 334–342. https://doi.org/10.1109/TBME.2023.3301444

Liu, Y., Berman, J., Dodson, A., Park, J., Maryam, Huang, H., … Kaber, D. B. (2024). Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes. IEEE Transactions on Human-Machine Systems. https://doi.org/10.1109/thms.2024.3381094

Huang, H., Hargrove, L. J., Ortiz-Catalan, M., & Sensinger, J. W. (2024). Integrating Upper-Limb Prostheses with the Human Body: Technology Advances, Readiness, and Roles in Human–Prosthesis Interaction. Annual Review of Biomedical Engineering. https://doi.org/10.1146/annurev-bioeng-110222-095816

Rubin, N., Hinson, R., Saul, K., Filer, W., Hu, X., & Huang, H. (2024). Modified motor unit properties in residual muscle following transtibial amputation. JOURNAL OF NEURAL ENGINEERING, 21(1). https://doi.org/10.1088/1741-2552/ad1ac2

Valero-Cuevas, F. J., Finley, J., Orsborn, A., Fung, N., Hicks, J. L., Huang, H., … Steele, K. M. (2024). [Review of NSF DARE-Transforming modeling in neurorehabilitation: Four threads for catalyzing progress]. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 21(1). https://doi.org/10.1186/s12984-024-01324-x

Driscoll, B., Liu, M., & Huang, H. (2023). 1-D Manual Tracing Based on a High Density Haptic Stimulation Grid - a Pilot Effort. 2023 IEEE WORLD HAPTICS CONFERENCE, WHC, pp. 375–381. https://doi.org/10.1109/whc56415.2023.10224505

Alili, A., Nalam, V., Li, M., Liu, M., Feng, J., Si, J., & Huang, H. (2023). A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 895–903. https://doi.org/10.1109/TNSRE.2023.3236217

Zhang, Q., Tu, X., Si, J., Lewek, M. D., & Huang, H. (2023). A Robotic Assistance Personalization Control Approach of Hip Exoskeletons for Gait Symmetry Improvement. 2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp. 6125–6132. https://doi.org/10.1109/IROS55552.2023.10341440

Yu, Z., Nalam, V., Alili, A., & Huang, H. (2023). A Wearable Robotic Rehabilitation System for Neuro-rehabilitation Aimed at Enhancing Mediolateral Balance. 2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS, pp. 155–160. https://doi.org/10.1109/IROS55552.2023.10341735

Liu, M., Naseri, A., Lee, I.-C., Hu, X., Lewek, M. D., & Huang, H. (2023). A simplified model for whole-body angular momentum calculation. MEDICAL ENGINEERING & PHYSICS, 111. https://doi.org/10.1016/j.medengphy.2022.103944

Hong, Y., Zhao, Y., Berman, J., Chi, Y., Li, Y., Huang, H., & Yin, J. (2023). Angle-programmed tendril-like trajectories enable a multifunctional gripper with ultradelicacy, ultrastrength, and ultraprecision. NATURE COMMUNICATIONS, 14(1). https://doi.org/10.1038/s41467-023-39741-6

Rubin, N., Hinson, R., Saul, K., Hu, X., & Huang, H. (2023). Ankle Torque Estimation With Motor Unit Discharges in Residual Muscles Following Lower-Limb Amputation. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 4821–4830. https://doi.org/10.1109/TNSRE.2023.3336543

Yip, M., Salcudean, S., Goldberg, K., Althoefer, K., Menciassi, A., Opfermann, J. D. D., … Lee, I.-C. (2023, July 14). Artificial intelligence meets medical robotics. SCIENCE, Vol. 381, pp. 141–146. https://doi.org/10.1126/science.adj3312

Park, J., Berman, J., Dodson, A., Liu, Y., Armstrong, M., Huang, H., … Zahabi, M. (2023, June 10). Assessing workload in using electromyography (EMG)-based prostheses. ERGONOMICS, Vol. 6. https://doi.org/10.1080/00140139.2023.2221413

Alili, A., Nalam, V., Fleming, A., Liu, M., Dean, J., & Huang, H. (2023). Closed-Loop Feedback Control of Human Step Width During Walking by Mediolaterally Acting Robotic Hip Exoskeleton. 2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp. 6097–6102. https://doi.org/10.1109/IROS55552.2023.10342127

Park, J., Music, A., Delgado, D., Berman, J., Dodson, A., Liu, Y., … Zahabi, M. (2023). Cognitive Workload and Usability of Virtual Reality Simulation for Prosthesis Training. 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC). https://doi.org/10.1109/smc53992.2023.10394286

Naseri, A., Liu, M., Lee, I.-C., & Huang, H. (2023). Development and Online Validation of an Intrinsic Fault Detector for a Powered Robotic Knee Prosthesis. 2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROS, pp. 2158–2164. https://doi.org/10.1109/IROS55552.2023.10342433

Yuan, J., Bai, X., Alili, A., Liu, M., Feng, J., & Huang, H. (2023). Finding a Natural Fit: A Thematic Analysis of Amputees’ Prosthesis Setting Preferences during User-Guided Auto-Tuning. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. https://doi.org/10.1177/21695067231216121

Berman, J., Hinson, R., Lee, I.-C., & Huang, H. (2023). Harnessing Machine Learning and Physiological Knowledge for a Novel EMG-Based Neural-Machine Interface. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 70(4), 1125–1136. https://doi.org/10.1109/TBME.2022.3210892

Li, M., Liu, W., Si, J., Stallrich, J. W., & Huang, H. (2023). Hierarchical Optimization for Control of Robotic Knee Prostheses Toward Improved Symmetry of Propulsive Impulse. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 70(5), 1634–1642. https://doi.org/10.1109/TBME.2022.3224026

Naseri, A., Lee, I.-C., Huang, H., & Liu, M. (2023). Investigating the Association of Quantitative Gait Stability Metrics With User Perception of Gait Interruption Due to Control Faults During Human-Prosthesis Interaction. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 4693–4702. https://doi.org/10.1109/TNSRE.2023.3328877

Fleming, A., Liu, W., & Huang, H. (2023). Neural prosthesis control restores near-normative neuromechanics in standing postural control. SCIENCE ROBOTICS, 8(83). https://doi.org/10.1126/scirobotics.adf5758

Hinson, R. M., Berman, J., Lee, I.-C., Filer, W. G., & Huang, H. (2023). 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 TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 3055–3063. https://doi.org/10.1109/TNSRE.2023.3297448

Hinson, R. M., Berman, J., Filer, W., Kamper, D., Hu, X., & Huang, H. (2023). Offline Evaluation Matters: Investigation of the Influence of Offline Performance on Real-Time Operation of Electromyography-Based Neural-Machine Interfaces. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 31, 680–689. https://doi.org/10.1109/TNSRE.2022.3226229

Gao, X., Si, J., & Huang, H. (2023). Reinforcement Learning Control With Knowledge Shaping. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3243631

Fisher, L. E., Gaunt, R. A., & Huang, H. (2023). Sensory restoration for improved motor control of prostheses. CURRENT OPINION IN BIOMEDICAL ENGINEERING, 28. https://doi.org/10.1016/j.cobme.2023.100498

Hong, W., & Huang, H. (2023). Towards Personalized Control for Powered Knee Prostheses: Continuous Impedance Functions and PCA-Based Tuning Method. 2023 INTERNATIONAL CONFERENCE ON REHABILITATION ROBOTICS, ICORR. https://doi.org/10.1109/ICORR58425.2023.10304689

Liu, W., Wu, R., Si, J., & Huang, H. (2022). A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(4), 10882–10889. https://doi.org/10.1109/LRA.2022.3194326

Nalam, V., Tu, X., Li, M., Si, J., & Huang, H. H. (2022). Admittance Control Based Human-in-the-Loop Optimization for Hip Exoskeleton Reduces Human Exertion during Walking. Proceedings - IEEE International Conference on Robotics and Automation, 6743–6749. https://doi.org/10.1109/ICRA46639.2022.9811553

Naseri, A., Liu, M., Lee, I.-C., Liu, W., & Huang, H. (2022). Characterizing Prosthesis Control Fault During Human-Prosthesis Interactive Walking Using Intrinsic Sensors. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(3), 8307–8314. https://doi.org/10.1109/LRA.2022.3186503

Park, J., Berman, J., Dodson, A., Liu, Y., Matthew, A., Huang, H., … Zahabi, M. (2022). Cognitive Workload Classification of Upper-limb Prosthetic Devices. Proceedings of the 2022 IEEE International Conference on Human-Machine Systems, ICHMS 2022. https://doi.org/10.1109/ICHMS56717.2022.9980676

Shah, C., Fleming, A., Nalam, V., Liu, M., & Huang, H. (2022). Design of EMG-driven Musculoskeletal Model for Volitional Control of a Robotic Ankle Prosthesis. 2022 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp. 12261–12266. https://doi.org/10.1109/IROS47612.2022.9981305

Shah, C., Fleming, A., Nalam, V., & Huang, H. (2022). Design of EMG-driven musculoskeletal model for volitional control of a robotic ankle prosthesis. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85125688202&partnerID=MN8TOARS

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2022). Evoked Tactile Feedback and Control Scheme on Functional Utility of Prosthetic Hand. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(2), 1300–1307. https://doi.org/10.1109/LRA.2021.3139147

Rubin, N., Zheng, Y., Huang, H., & Hu, X. (2022). Finger Force Estimation Using Motor Unit Discharges Across Forearm Postures. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 69(9), 2767–2775. https://doi.org/10.1109/TBME.2022.3153448

Li, M., Zhong, B., Lobaton, E., & Huang, H. (2022). Fusion of Human Gaze and Machine Vision for Predicting Intended Locomotion Mode. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 30, 1103–1112. https://doi.org/10.1109/TNSRE.2022.3168796

Fylstra, B. L., Lee, I. C., Li, M., Lewek, M., & Huang, H. (2022). Human-Prosthesis Cooperation: Combining Adaptive Prosthesis Control with Visual Feedback Guided Gait. ResearchSquare. https://doi.org/10.21203/rs.3.rs-1670416

Fylstra, B. L., Lee, I.-C., Li, M., Lewek, M. D., & Huang, H. (2022). Human-prosthesis cooperation: combining adaptive prosthesis control with visual feedback guided gait. JOURNAL OF NEUROENGINEERING AND REHABILITATION, 19(1). https://doi.org/10.1186/s12984-022-01118-z

Zhang, Q., Nalam, V., Tu, X., Li, M., Si, J., Lewek, M. D., & Huang, H. H. (2022). Imposing Healthy Hip Motion Pattern and Range by Exoskeleton Control for Individualized Assistance. IEEE Robotics and Automation Letters, 7(4), 11126–11133. https://doi.org/10.1109/LRA.2022.3196105

Liu, W., Zhong, J., Wu, R., Fylstra, B. L., Si, J., & Huang, H. (2022). Inferring Human-Robot Performance Objectives During Locomotion Using Inverse Reinforcement Learning and Inverse Optimal Control. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(2), 2549–2556. https://doi.org/10.1109/LRA.2022.3143579

Moreno, J. C., Vitiello, N., Walsh, C., Huang, H., & Mohammed, S. (2022, June). Introduction to the Special Section on Wearable Robots. IEEE TRANSACTIONS ON ROBOTICS, Vol. 38, pp. 1338–1342. https://doi.org/10.1109/TRO.2022.3176744

Lee, I.-C., Fylstra, B. L., Liu, M., Lenzi, T., & Huang, H. (2022). Is there a trade-off between economy and task goal variability in transfemoral amputee gait? JOURNAL OF NEUROENGINEERING AND REHABILITATION, 19(1). https://doi.org/10.1186/s12984-022-01004-8

Fleming, A., Liu, W., & Huang, H. (2022). Neural Coherence of Homologous Muscle Pairs During Direct EMG Control of Standing Posture in Transtibial Amputees. In Biosystems & Biorobotics (Vol. 28, pp. 139–143). https://doi.org/10.1007/978-3-030-70316-5_23

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2022). Object Recognition via Evoked Sensory Feedback during Control of a Prosthetic Hand. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(1), 207–214. https://doi.org/10.1109/LRA.2021.3122897

Wu, R., Li, M., Yao, Z., Liu, W., Si, J., & Huang, H. (2022). Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(3), 7014–7020. https://doi.org/10.1109/LRA.2022.3179420

Zhong, B., Huang, H., & Lobaton, E. (2022). Reliable Vision-Based Grasping Target Recognition for Upper Limb Prostheses. IEEE TRANSACTIONS ON CYBERNETICS, 52(3), 1750–1762. https://doi.org/10.1109/TCYB.2020.2996960

Vargas, L., Huang, H., Zhu, Y., Kamper, D., & Hu, X. (2022). Resembled Tactile Feedback for Object Recognition Using a Prosthetic Hand. IEEE ROBOTICS AND AUTOMATION LETTERS, 7(4), 10977–10984. https://doi.org/10.1109/LRA.2022.3196958

Wu, R., Yao, Z., Si, J., & Huang, H. H. (2022). Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning. IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 9(1), 19–30. https://doi.org/10.1109/JAS.2021.1004272

Hinson Jr, R. J., Saul, K., Kamper, D., & Huang, H. (2022). Sensitivity analysis guided improvement of an electromyogram-driven lumped parameter musculoskeletal hand model. JOURNAL OF BIOMECHANICS, 141. https://doi.org/10.1016/j.jbiomech.2022.111200

Yuan, J., Bai, X., Driscoll, B., Liu, M., Huang, H., & Feng, J. (2022). Standing and Walking Attention Visual Field (SWAVF) task: A new method to assess visuospatial attention during walking. APPLIED ERGONOMICS, 104. https://doi.org/10.1016/j.apergo.2022.103804

Lee, I.-C., Liu, M., Lewek, M. D., Hu, X., Filer, W. G., & Huang, H. (2022). Toward Safe Wearer-Prosthesis Interaction: Evaluation of Gait Stability and Human Compensation Strategy Under Faults in Robotic Transfemoral Prostheses. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 30, 2773–2782. https://doi.org/10.1109/TNSRE.2022.3208778

Yao, S., Zhou, W., Hinson, R., Dong, P., Wu, S., Ives, J., … Zhu, Y. (2022, May 16). Ultrasoft Porous 3D Conductive Dry Electrodes for Electrophysiological Sensing and Myoelectric Control. ADVANCED MATERIALS TECHNOLOGIES, Vol. 5. https://doi.org/10.1002/admt.202101637

Wu, R., Li, M., Si, J., & Huang, H. (2022). Understanding Human-Prosthesis Interaction via Reinforcement Learning-Based Echo Control: A Case Study. In Biosystems & Biorobotics (Vol. 28, pp. 697–701). https://doi.org/10.1007/978-3-030-70316-5_112

Tu, X., Li, M., Liu, M., Si, J., & Huang, H. (2021). A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. 2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), pp. 10610–10616. https://doi.org/10.1109/icra48506.2021.9562062

Upadhye, S., Shah, C., Liu, M., Buckner, G., & Huang, H. (2021). A Powered Prosthetic Ankle Designed for Task Variability - A Concept Validation. 2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp. 6153–6158. https://doi.org/10.1109/iros51168.2021.9636324

Pan, L., & Huang, H. (2021). A robust model-based neural-machine interface across different loading weights applied at distal forearm. BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 67. https://doi.org/10.1016/j.bspc.2021.102509

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2021). Closed-loop control of a prosthetic finger via evoked proprioceptive information. JOURNAL OF NEURAL ENGINEERING, 18(6). https://doi.org/10.1088/1741-2552/ac3c9e

Yuan, J., Cline, E., Liu, M., Huang, H., & Feng, J. (2021). [Review of Cognitive measures during walking with and without lower-limb prosthesis: protocol for a scoping review]. BMJ OPEN, 11(2). https://doi.org/10.1136/bmjopen-2020-039975

Rubin, N., Liu, W., Hu, X., & Huang, H. (2021). Common Neural Input within and across Lower Limb Muscles: A Preliminary Study. 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), pp. 6683–6686. https://doi.org/10.1109/embc46164.2021.9630141

Berman, J., Hinson, R., & Huang, H. (2021). Comparing Reinforcement Learning Agents and Supervised Learning Neural Networks for EMG-Based Decoding of Continuous Movements. 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), pp. 6297–6300. https://doi.org/10.1109/embc46164.2021.9630744

Popp, F., Liu, M., & Huang, H. (2021). Development of a Wearable Human-Machine Interface to Track Forearm Rotation via an Optical Sensor. 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), pp. 7360–7363. https://doi.org/10.1109/embc46164.2021.9629851

Liu, W., Fleming, A., Lee, I.-C., & Huang, H. H. (2021). Direct Myoelectric Control Modifies Lower Limb Functional Connectivity: A Case Study. 2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC), pp. 6573–6576. https://doi.org/10.1109/embc46164.2021.9630844

Fleming, A., Huang, S., Buxton, E., Hodges, F., & Huang, H. H. (2021). Direct continuous electromyographic control of a powered prosthetic ankle for improved postural control after guided physical training: A case study. Wearable Technologies, 2. https://doi.org/10.1017/wtc.2021.2

Zhong, B., Silva, R. L., Tran, M., Huang, H., & Lobaton, E. (2021, June 7). Efficient Environmental Context Prediction for Lower Limb Prostheses. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, Vol. 52. https://doi.org/10.1109/TSMC.2021.3084036

Nalam, V., & Huang, H. (2021, October). Empowering prosthesis users with a hip exoskeleton. NATURE MEDICINE, Vol. 27, pp. 1677–1678. https://doi.org/10.1038/s41591-021-01529-w

Zhong, B., Silva, R. L., Li, M., Huang, H., & Lobaton, E. (2021). Environmental Context Prediction for Lower Limb Prostheses With Uncertainty Quantification. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 18(2), 458–470. https://doi.org/10.1109/TASE.2020.2993399

Lee, I. C., Fylstra, B. L., Liu, M., Lenzi, T., & Huang, H. (2021). Is there a Trade-off between Economy and Task Goal Variability in Transfemoral Amputee Gait? ResearchSquare. https://doi.org/10.21203/rs.3.rs-659520

Fleming, A., Stafford, N., Huang, S., Hu, X., Ferris, D. P., & Huang, H. (2021). [Review of Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions]. JOURNAL OF NEURAL ENGINEERING, 18(4). https://doi.org/10.1088/1741-2552/ac1176

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2021). Perception of Static Position and Kinesthesia of the Finger using Vibratory Stimulation. 2021 10TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), pp. 1087–1090. https://doi.org/10.1109/NER49283.2021.9441255

Gao, X., Si, J., Wen, Y., Li, M., & Huang, H. (2021, May 6). Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol. 33. https://doi.org/10.1109/TNNLS.2021.3071727

Wu, R., Li, M., Yao, Z., Si, J., & Huang, H. (2021). Reinforcement learning enabled automatic impedance control of a robotic knee prosthesis to mimic the intact knee motion in a co-adapting environment. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85101254246&partnerID=MN8TOARS

Huang, H., Wu, R., Yao, Z., & Si, J. (2021). Robotic knee tracking control to mimic the intact human knee profile based on actor-critic reinforcement learning. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85101456660&partnerID=MN8TOARS

Vargas, L., Huang, H., Zhu, Y., & Hu, X. (2021). Static and dynamic proprioceptive recognition through vibrotactile stimulation. JOURNAL OF NEURAL ENGINEERING, 18(4). https://doi.org/10.1088/1741-2552/ac0d43

Huang, H., Si, J., Brandt, A., & Li, M. (2021). Taking both sides: seeking symbiosis between intelligent prostheses and human motor control during locomotion. CURRENT OPINION IN BIOMEDICAL ENGINEERING, 20. https://doi.org/10.1016/j.cobme.2021.100314

Tabor, J., Agcayazi, T., Fleming, A., Thompson, B., Kapoor, A., Liu, M., … Ghosh, T. K. (2021). Textile-Based Pressure Sensors for Monitoring Prosthetic-Socket Interfaces. IEEE SENSORS JOURNAL, 21(7), 9413–9422. https://doi.org/10.1109/JSEN.2021.3053434

Li, M., Wen, Y., Gao, X., Si, J., & Huang, H. (2021, May 26). Toward Expedited Impedance Tuning of a Robotic Prosthesis for Personalized Gait Assistance by Reinforcement Learning Control. IEEE TRANSACTIONS ON ROBOTICS, Vol. 38. https://doi.org/10.1109/TRO.2021.3078317

Farina, D., Vujaklija, I., Branemark, R., Bull, A. M. J., Dietl, H., Graimann, B., … Aszmann, O. C. (2021, May 31). Toward higher-performance bionic limbs for wider clinical use. NATURE BIOMEDICAL ENGINEERING, Vol. 5. https://doi.org/10.1038/s41551-021-00732-x

Alili, A., Nalam, V., Li, M., Liu, M., Si, J., & Huang, H. (2021). User Controlled Interface for Tuning Robotic Knee Prosthesis. 2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), pp. 6190–6195. https://doi.org/10.1109/iros51168.2021.9636264

Wu, W., Saul, K. R., & Huang, H. (2021). Using Reinforcement Learning to Estimate Human Joint Moments From Electromyography or Joint Kinematics: An Alternative Solution to Musculoskeletal-Based Biomechanics. JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 143(4). https://doi.org/10.1115/1.4049333

Tu, X., Li, M., Liu, M., Si, J., & Huang, H. H. (2020). A Data-Driven Reinforcement Learning Solution Framework for Optimal and Adaptive Personalization of a Hip Exoskeleton. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85098609759&partnerID=MN8TOARS

Liu, M., Kamper, D. G., & Huang, H. (2020). An Easy-to-Use Socket-Suspension System Monitor for Lower Limb Amputees. IEEE Transactions on Instrumentation and Measurement, 69(11), 8973–8982. https://doi.org/10.1109/tim.2020.2999738

Wu, S., Yao, S., Liu, Y., Hu, X., Huang, H. H., & Zhu, Y. (2020). Buckle-Delamination-Enabled Stretchable Silver Nanowire Conductors. ACS APPLIED MATERIALS & INTERFACES, 12(37), 41696–41703. https://doi.org/10.1021/acsami.0c09775

Fleming, A., Huang, S., Buxton, E., Hodges, F., & Huang, H. (2020). Direct continuous EMG control of a powered prosthetic ankle for improved postural control after guided physical training: A case study. BioRxiv. https://doi.org/10.1101/2020.09.11.293373

Park, J., Zahabi, M., Kaber, D., Ruiz, J., & Huang, H. H. (2020). Evaluation of Activities of Daily Living Tesbeds for Assessing Prosthetic Device Usability. 2020 IEEE International Conference on Human-Machine Systems (ICHMS). https://doi.org/10.1109/ichms49158.2020.9209553

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