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- W2025259112 abstract "In this paper, we propose a method to recognize clothing shape based on strategic observation during handling. When a robot handles largely deformed objects like clothes, it is important for the robot to recognize a constantly varying shape. Large variation in shape and complex self-occlusion, however, make recognition very difficult. To address these difficulties, we have proposed a model-driven strategy using actions for informative observation and have developed some core methods based on this strategy [1][2][3]. In this paper, we show how these core methods can be used for an actual task that involves handling an item of clothing. In addition to proposing a sequence for this task, basic functions for realizing the sequence are also described. Using a robot, the experimental results demonstrated practical utility of the proposed strategy." @default.
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- W2025259112 date "2011-10-01" @default.
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- W2025259112 title "Clothes handling based on recognition by strategic observation" @default.
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- W2025259112 doi "https://doi.org/10.1109/humanoids.2011.6100817" @default.
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