Toyota Motor Engineering & Manufacturing North America, Inc.

International Computer Science Institute

Mario Fritz

Masayoshi Tsuchinaga

Trevor Darrell

Methods for recognizing a category of an object are disclosed. In one embodiment, a method includes determining, by a processor, a preliminary category of a target object, the preliminary category having a confidence score associated therewith, and comparing the confidence score to a learning threshold. If the highest confidence score is less than the learning threshold, the method further includes estimating properties of the target object and generating a property score for one or more estimated properties, and searching a supplemental image collection for supplemental image data using the preliminary category and the one or more estimated properties. Robots programmed to recognize a category of an object by use of supplemental image data are also disclosed.

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Saarbrücken, Germany

Mario Fritz