References

Krishnan, B., Zanelli, S., Boudaoud, S., Scapucciati, L., McPhee, J., & Jiang, N. (2023). Age-sensitive high density surface electromyogram indices for detecting muscle fatigue using core shape modelling Biomedical Signal Processing and Control, 81. https://doi.org/https://doi.org/10.1016/j.bspc.2022.104446 (Original work published 2023)

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 Presented at the The Society of Instrument and Control Engineers (SICE) Annual Conference conference. Tsu, Japan: IEEE. https://doi.org/https://doi.org/10.23919/SICE59929.2023.10354196 (Original work published 2023)

Zhao, J., Li, X., Shum, C., & McPhee, J. (2023). A computationally efficient and high‐fidelity 1D steady‐state performance model for PEM fuel cells Journal of Physics: Energy, 5, 015003.

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)

Laschowski, B., & McPhee, J. (2023). Energy-Efficient Actuator Design Principles for Robotic Leg Prostheses and Exoskeletons: A Review of Series Elasticity and Backdrivability ASME Journal of Computational and Nonlinear Dynamics. https://doi.org/10.1115/1.4056919

Nasr, A., Hunter, J., Dickerson, C. R., & McPhee, J. (2023). Evaluation of a machine-learning-driven active-passive upper-limb exoskeleton robot: Experimental human-in-the-loop study Wearable Technologies, 4. https://doi.org/https://doi.org/10.1017/wtc.2023.9 (Original work published 2023)

Lin, Y., McPhee, J., & Azad, N. L. (2022). Co‐optimization of on‐ramp merging and plug‐in hybrid electric vehicle power split using deep reinforcement learning IEEE Transactions on Vehicular Technology, 71, 6958‐‐6968.

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)