Join us for a special seminar presentation with Dr. John McPhee, Professor, Systems Design Engineering, Canada Research Chair in System Dynamics.
Seminar abstract
Humans are unique in our ability to create and use advanced tools; understanding the dynamic synergies between humans and their tools is a long-term goal of our research.
To tackle this challenge, we develop system dynamic models of biomechatronic systems that include both the neuro-musculoskeletal dynamics of the human user and the physics of wearable robots and sports equipment. These integrated human-machine models are used to create predictive dynamic simulations and model-based controllers, which support the optimization of human performance and design of the machine.
In this talk, I will discuss the application of unified system models, predictive dynamic simulation, model-predictive control, and deep machine learning to the optimization of exoskeletons (upper and lower limb) and sports performance, including golf, ice hockey, Paralympic curling, Olympic fencing, wheelchair basketball, and Olympic cycling.
Speaker bio
Professor John McPhee is the Canada Research Chair in Biomechatronic System Dynamics at the University of Waterloo. His research team (morg.uwaterloo.ca) develops dynamic models, machine learning algorithms, and model-based controllers for human-machine systems including exoskeletons, automobiles, sports, and rehabilitation robots.
This seminar is sponsored by:
