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• W2031500961 abstract "Understanding and representing objects and their function is a challenging task. Objects we manipulate in our daily activities can be described and categorized in various ways according to their properties or affordances, depending also on our perception of those. In this work, we are interested in representing the knowledge acquired through interaction with objects, describing these in terms of action-effect relations, i.e. sensorimotor contingencies, rather than static shape or appearance representations. We demonstrate how a robot learns sensorimotor contingencies through pushing using a probabilistic model. We show how functional categories can be discovered and how entropy-based action selection can improve object classification." @default.
• W2031500961 created "2016-06-24" @default.
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• W2031500961 date "2013-11-01" @default.
• W2031500961 modified "2023-10-18" @default.
• W2031500961 title "Interactive object classification using sensorimotor contingencies" @default.
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• W2031500961 doi "https://doi.org/10.1109/iros.2013.6696752" @default.
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