Ming Liu 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 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 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 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 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 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 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 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 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 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 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 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 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 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 Brandt, A., Wen, Y., Liu, M., Stallings, J., & Huang, H. H. (2017). Interactions Between Transfemoral Amputees and a Powered Knee Prosthesis During Load Carriage. Scientific Reports, 7(1). https://doi.org/10.1038/S41598-017-14834-7 Huang, H., Crouch, D. L., Liu, M., Sawicki, G. S., & Wang, D. (2016). A cyber expert system for auto-tuning powered prosthesis impedance control parameters. Annals of Biomedical Engineering, 44(5), 1613–1624. https://doi.org/10.1007/s10439-015-1464-7 Liu, M., Wang, D., & Huang, H. (2016). Development of an Environment-Aware Locomotion Mode Recognition System for Powered Lower Limb Prostheses. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 24(4), 434–443. https://doi.org/10.1109/tnsre.2015.2420539 Zhang, F., Liu, M., & Huang, H. (2015). Effects of Locomotion Mode Recognition Errors on Volitional Control of Powered Above-Knee Prostheses. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 23(1), 64–72. https://doi.org/10.1109/tnsre.2014.2327230 Zhang, F., Liu, M., Harper, S., Lee, M., & Huang, H. (2014). Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis. JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, (89). https://doi.org/10.3791/51059 Liu, M., Zhang, F., Datseris, P., & Huang, H. (2014). Improving Finite State Impedance Control of Active-Transfemoral Prosthesis Using Dempster-Shafer Based State Transition Rules. Journal of Intelligent & Robotic Systems, 76(3-4), 461–474. https://doi.org/10.1007/S10846-013-9979-3 Liu, M., & Chelidze, D. (2008). A new type of atomic force microscope based on chaotic motions. International Journal of Non-Linear Mechanics, 43(6), 521–526. https://doi.org/10.1016/j.ijnonlinmec.2008.03.001