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Found 2 papers, 1 papers with code
Data-efficient Learning of Morphology and Controller for a Microrobot
Robot design is often a slow and difficult process requiring the iterative construction and testing of prototypes, with the goal of sequentially optimizing the design.
Learning Flexible and Reusable Locomotion Primitives for a Microrobot
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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