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- W2680579630 abstract "Designing complicated behavior for an autonomous robot is a significant challenge in the field of adaptive behavior researches. We have proposed the behavior design method for virtual autonomous robots. It aims to obtain complicated behaviors by combining several artificial neural networks as primitive controllers. We have shown that the proposed method is capable of designing behaviors to achieve complicated tasks. This paper aims to introduce the multi-objective optimization into the proposed method to sustain diversity of primitive controllers. We conduct a simulation experiment for khepera-like mobile robot to acquire locomotion. Simulation experiments are carried out to show the effectiveness of our method." @default.
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- W2680579630 date "2012-01-01" @default.
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- W2680579630 title "1A2-E06 Diversity of Behavior using Multi-Objective Optimization for Complicated Behaviors(Evolution and Learning for Robotics(2))" @default.
- W2680579630 doi "https://doi.org/10.1299/jsmermd.2012._1a2-e06_1" @default.
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