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)
Reference keyword: Exoskeletons
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)
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)
Nasr, A., Ferguson, S., & McPhee, J. (2021). Model-based design and optimization of passive shoulder exoskeletons Presented at the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference conference. ASME.
Inkol, K. A., & McPhee, J. (2020). Assessing Control of Fixed-Support Balance Recovery in Wearable Lower-Limb Exoskeletons Using Multibody Dynamic Modelling Presented at the International Conference on Biomedical Robotics and Biomechatronics (BIOROB) conference.
Hashemi, A., Lin, Y., McNally, W., Laschowski, B., Hosking, B., Wong, A., & McPhee, J. (2019). Integration of Machine Learning with Dynamics and Control: From Autonomous Cars to Biomechatronics Retrieved from http://csme-scgm.ca/sites/default/files/BULLETIN-FALL-2019.pdf