Nasr, A. ., Dickerson, C. R., & McPhee, J. . (2023). Experimental study of fully passive, fully active, and active-passive upper-limb exoskeleton efficiency: An assessment of lifting tasks. Sensors, 24. https://doi.org/https://doi.org/10.3390/s24010063 (Original work published 2023)
Reference author: Ali Nasr
First name
Ali
Last name
Nasr
Haraguchi, N. ., Nasr, A. ., Inkol, K. A., Hase, K. ., & McPhee, J. . (2023). Human and passive lower-limb exoskeleton interaction analysis: Computational study with dynamics simulation using nonlinear model predictive control. The Society of Instrument and Control Engineers (SICE) Annual Conference. Presented at the. Tsu, Japan: IEEE. https://doi.org/https://doi.org/10.23919/SICE59929.2023.10354196 (Original work published 2023)
Nasr, A. ., Hashemi, A. ., & McPhee, J. . (2023). Scalable musculoskeletal model for dynamic simulations of upper body movement. Computer Methods in Biomechanics and Biomedical Engineering, 27. https://doi.org/https://doi.org/10.1080/10255842.2023.2184747 (Original work published 2023)
Nasr, A. ., Ferguson, S. ., & McPhee, J. . (2022). Model-based design and optimization of passive shoulder exoskeletons. J. Comput. Nonlinear Dynam., 17. https://doi.org/10.1115/1.4053405 (Original work published 2022)
Nasr, A. ., Hashemi, A. ., & McPhee, J. . (2022). Model-based mid-level regulation for assist-as-needed hierarchical control of wearable robots: A computational study of human-robot adaptation. Robotics, 11. https://doi.org/10.3390/robotics11010020 (Original work published 2022)
Nasr, A. ., Bell, S. ., & McPhee, J. . (2022). Optimal design of active-passive shoulder exoskeletons: a computational modeling of human-robot interaction. Multibody System Dynamics. https://doi.org/https://doi.org/10.1007/s11044-022-09855-8 (Original work published 2022)
Febrer-Nafría, M. ., Nasr, A. ., Ezati, M. ., Brown, P. ., Font-Llagunes, J. M., & McPhee, J. . (2022). Predictive multibody dynamic simulation of human neuromusculoskeletal systems: a review. Multibody System Dynamics. https://doi.org/https://doi.org/10.1007/s11044-022-09852-x (Original work published 2022)
Nasr, A. ., Inkol, K. A., Bell, S. ., & McPhee, J. . (2021). InverseMuscleNET: Alternative machine learning solution to static optimization and inverse muscle modeling. Frontiers in Computational Neuroscience. https://doi.org/10.3389/fncom.2021.759489 (Original work published 2021)
Nasr, A. ., Ferguson, S. ., & McPhee, J. . (2021). Model-based design and optimization of passive shoulder exoskeletons. ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Presented at the. ASME.
Nasr, A. ., Bell, S. ., He, J. ., Whittaker, R. L., Jiang, N. ., Dickerson, C. R., & McPhee, J. . (2021). MuscleNET: Mapping electromyography to kinematic and dynamic biomechanical variables by machine learning. Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/ac1adc (Original work published 2021)
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