Matthew Sheen

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We present a method for designing a walking controller for the walking robot Cornell Ranger. Our goal is a controller that can be designed using model-based optimization, and then transferred directly to the robot without the need for after-the-fact hand-tuning. The structure of the controller is hierarchical, with a high-level balance controller that plans(More)
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