Research Description
We are studying energy-efficient actuators and model-based control algorithms for lower and upper-limb exoskeletons and prostheses using integrated biomechatronic systems modelling. Environment recognition systems and onboard sensors inform the dynamic controllers, which optimize the movement assistance and regeneration capabilities of these wearable biomechatronic systems 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, McNally W, Wong A, and McPhee J. (2020). Comparative Analysis of Environment Recognition Systems for Control of Lower-Limb Exoskeletons and Prostheses. IEEE International Conference on Biomedical Robotics and Biomechatronics. 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.
