We are developing novel energy-efficient designs and model-based control algorithms for lower-limb and upper-limb exoskeletons and prostheses using integrated biomechatronic systems modelling. Automated environment recognition systems and onboard sensors inform the dynamic controllers, which optimize assistive loads and electrical energy regeneration capabilities of these wearable biomechatronic devices for rehabilitation and manufacturing applications.
• Exoskeletons and Prostheses
• Model-Based Control
• Electrical Energy Regeneration
• Biomechatronic Systems Modelling
• Assistive Devices
• 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.