Catie Meador

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Visual object recognition is a key challenge to the deployment of robots in domains characterized by partial observability and unforeseen changes. Sophisticated algorithms developed for model-ing and recognizing objects using different visual cues [3, 4] are computationally expensive, sensitive to changes in object configurations and environmental factors,(More)
Visual object recognition is a key challenge to the deployment of robots in domains characterized by partial observability and unforeseen changes. Sophisticated algorithms developed for model-ing and recognizing objects using different visual cues [3, 4] are computationally expensive, sensitive to changes in object configurations and environmental factors,(More)
Visual object recognition is an important challenge to widespread deployment of mobile robots in real-world domains characterized by partial observ-ability and unforeseen dynamic changes. This paper describes an algorithm that enables robots to use motion cues to identify (and focus on) a set of interesting objects, automatically extracting appearance-based(More)
In the field of adaptive robotics, numerous studies have been concerned primarily with effectively simulating biological phenomena in order to take advantage of the many effective approaches to adaptation and development present in the world of biology. In this paper, we discuss an attempt to mimic the psychological phenomena of classical conditioning, used(More)
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