AAAI Publications, Twenty-Eighth AAAI Conference on Artificial Intelligence

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Learning to Recognize Novel Objects in One Shot through Human-Robot Interactions in Natural Language Dialogues
Evan A. Krause, Michael Zillich, Thomas Williams, Matthias Scheutz

Last modified: 2014-06-21


Being able to quickly and naturally teach robots new knowledge is critical for many future open-world human-robot interaction scenarios. In this paper we present a novel approach to using natural language context for one-shot learning of visual objects, where the robot is immediately able to recognize the described object. We describe the architectural components and demonstrate the proposed approach on a robotic platform in a proof-of-concept evaluation.


one shot learning; vision; natural language; robotics

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