We investigate optimal design methods to improve the performance of robotic systems, both in terms of effciency and agility.
We combine nonlinear control theory with reduced-order models for design of highly stable and robust controllers with the ultimate goal of reaching a performance comparable to that of humans.
We study human biomechanics in order to understand how humans motion and maneuvers are controlled and conducted. We use this knowledge both for legged robots and wearable robots.
Copyright© Siavash Rezazadeh, 2019-2020
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