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Showing 1 to 1 of 1 for “"Robot Design Optimization"”.

  1. Multi-Objective Bilevel Bayesian optimization for robot and behavior co-design

    Traditionally, the robot design process is based on the trial-and-error approach that involves repeated cycles of design, prototyping, and evaluation. During the process, the robot designer should tackle multiple objectives, which are commonly in conflicting relationships. Furthermore, the robot

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