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Mission

We develop robots – machines equipped with physical intelligence (adaptability) and control intelligence (decision making capability) – that parallel biological systems. We study fundamental aspects of robot dynamics, control, and design. We use techniques from the fields of optimal control, applied mechanics, nonlinear dynamics, and computational design. Our approach is multidisciplinary and heavily utilizes analytical and numerical investigations.


Projects

Human Augmentation Technologies
Variable-Impedance Actuators for Human Performance Augmentation
Data-driven Optimal Control of Robots and Human Augmentation Devices


Highlights

New NSF (CMMI/DCSD) Award: What if robots could teach robots the same way parents teach their children?
Our paper “How to Run 50% Faster without External Energy”
was published in Science Advances in March 2020
Our paper “How to Run 50% Faster without External Energy”
was publicized in “The Guardian”
Our explanation of our recent theoretical work on running
exoskeletons is featured in “The Conversation”