Research Description
We are developing energy-efficient powertrains and model-based control algorithms for lower and upper-limb exoskeletons and prostheses using integrated biomechatronic systems modelling. Automated environment recognition systems and onboard sensors inform the dynamic controllers, which optimize the movement assistance and energy regeneration capabilities of these wearable biomechatronics for rehabilitation and manufacturing applications.
Student Researchers
• Brock Laschowski
• Ali Nasr
• Keaton Inkol
Keywords and Themes
• Exoskeletons and Prostheses
• Model-Based Control
• Biomechatronic Systems Modelling
• Assistive Technology
• Rehabiliation Engineering
Related Publications
• Laschowski B, Razavian RS, and McPhee J. (2019). Modelling and Biomechanical Evaluation of Sitting Movements: Implications for Energy-Efficient Lower-Limb Prostheses and Exoskeletons. International Society of Biomechanics Congress. Accepted.
• Laschowski B, McNally W, McPhee J, and Wong A. (2019). Preliminary Design of an Environment Recognition System for Controlling Robotic Lower-Limb Prostheses and Exoskeletons. IEEE International Conference on Rehabilitation Robotics, pp. 868-873. DOI: 10.1109/ICORR.2019.8779540.
• Laschowski B, McPhee J, and Andrysek J. (2019). Lower-Limb Prostheses and Exoskeletons with Energy Regeneration: Mechatronic Design and Optimization Review. ASME Journal of Mechanisms and Robotics, 11(4), pp. 040801-040801-8. DOI: 10.1115/1.4043460.
