Figure 2 (IMAGE)
Caption
A schematic overview of the proposed optimization algorithm (PWLS). The plotted data points show the relationship between control parameter values and reproduced walking speeds. If the function expressing this relationship was obtained using the general least squares method, the data generating energy-efficient and non-energy-efficient gait are not distinguished and treated with the same evaluation. In the proposed PWLS, by adding weights based on evaluation values (energy efficiency) to the data points that generate energy-efficient walking, it is possible to obtain the relationship between the walking speed and the control parameters that realize highly efficient walking and to construct a neural circuit model that enables the generation of more energy-efficient walking.
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Tohoku University
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