Search Results for author: Daniel Contreras

Found 1 papers, 0 papers with code

Learning Flexible and Reusable Locomotion Primitives for a Microrobot

no code implementations1 Mar 2018 Brian Yang, Grant Wang, Roberto Calandra, Daniel Contreras, Sergey Levine, Kristofer Pister

This approach formalizes locomotion as a contextual policy search task to collect data, and subsequently uses that data to learn multi-objective locomotion primitives that can be used for planning.

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