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• W2078651927 abstract "Robotics research tends to focus upon either non-contact sensing or machine manipulation, but not both. This paper explores the benefits of combining the two by addressing the problem of classifying unknown objects, such as found in service robot applications. In the proposed approach, an object lies on a flat background, and the goal of the robot is to interact with and classify each object so that it can be studied further. The algorithm considers each object to be classified using color, shape, and flexibility. Experiments on a number of different objects demonstrate the ability of efficiently classifying and labeling each item through interaction." @default.
• W2078651927 created "2016-06-24" @default.
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• W2078651927 date "2010-10-01" @default.
• W2078651927 modified "2023-09-27" @default.
• W2078651927 title "Rigid and non-rigid classification using interactive perception" @default.
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• W2078651927 doi "https://doi.org/10.1109/iros.2010.5652733" @default.
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