Towards Concept Formation Grounded on Perception and Action of a Mobile Robot

10/26/2020

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by   Katharina Morik, et al.

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The recognition of objects and, hence, their descriptions must be grounded in the environment in terms of sensor data. We argue why the concepts used to classify perceived objects and used to perform actions on these objects should integrate action-oriented perceptional features and perception-oriented action features. We present a grounded symbolic representation for these concepts. Moreover, the concepts should be learned. We show a logic-oriented approach to learning grounded concepts.