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)
Publications
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Hashemi, A. ., Orzechowski, G. ., Mikkola, A. ., & McPhee, J. . (2023). Multibody Dynamics and Control using Machine Learning. Multibody System Dynamics.
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)
McPhee, J. . (2022). A review of dynamic models and measurements in golf. Sports Engineering, 25, 1-19. https://doi.org/https://doi.org/10.1007/s12283-022-00387-0 (Original work published 2022)
Laschowski, B. ., McNally, W. ., Wong, A. ., & McPhee, J. . (2022). Environment Classification for Robotic Leg Prostheses and Exoskeletons using Deep Convolutional Neural Networks. Frontiers in Neurorobotics, 15. https://doi.org/10.3389/fnbot.2021.730965 (Original work published 2022)
Laschowski, B. ., Inkol, K. A., Mihailidis, A. ., & McPhee, J. . (2022). Simulation of Energy Regeneration in Human Locomotion for Efficient Exoskeleton Actuation. IEEE RAS EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob). Presented at the. IEEE. https://doi.org/10.1109/BioRob52689.2022.9925349 (Original work published 2022)
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. ., 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)