CUED Publications database

Model-Free Design Optimization of a Hopping Robot and Its Comparison With a Human Designer

Saar, K and Giardina, F and Iida, F (2017) Model-Free Design Optimization of a Hopping Robot and Its Comparison With a Human Designer. IEEE Robotics and Automation Letters, 3. pp. 1245-1251.

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When developing a robot, design iterations in the physical world are necessary, even though they are often costly and not systematic. Here, we present an automated iterative design process without using modeling or simulation, which we refer to as “model-free design optimization” based on Bayesian optimization. This letter particularly focuses on the cooptimization of morphology and controller, by using a mechanism to balance parameter specific costs (i.e., morphology samplings are more expensive than control ones) for effective and efficient design optimization processes. A hopping robot was employed for a feasibility analysis of the proposed optimization method, in which minimalistic two-dimensional and four-dimensional design optimization experiments were performed in real life. The results show that the proposed approach is capable of improving both of the robot design problems within a defined time limit. The method is also compared to optimization performances of a human designer under the same conditions. The automated method has advantage in finding the best solution more quickly in the four-dimensional search space, while the human optimization performs better in the two-dimensional case.

Item Type: Article
Uncontrolled Keywords: legged robots optimization and optimal control probability and statistical methods product design development and prototyping
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 16 Jan 2018 01:43
Last Modified: 10 Apr 2021 22:40
DOI: 10.1109/LRA.2018.2795646