Jorge Martinez Perez-Tejada

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Delivering on the promise of real-world robotics will require robots that can communicate with humans through natural language by learning new words and concepts through their daily experiences. Our research strives to create a robot that can learn the meaning of haptic adjectives by directly touching objects. By equipping the PR2 humanoid robot with(More)
Humans use language to describe their perceptual experiences and communicate with others about the world. Current methods of statistical language processing aim to categorize words via occurrence and usage statistics from large bodies of text [1], an approach that elucidates important patterns but cannot alone understand the facets of language that are(More)
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