The Cornell Robo Brain (http://robobrain.me) is a large-scale learning system that attempts to learn from publicly available Internet resources, computer simulations, and real-life robot trials. The idea is to associate objects in images with text in order to correlate how they relate to human language, behavior and usage. Applications include prototyping for robotics research, household robots, and self-driving cars. The project was started in July and has begun to download about one billion images, 120,000 YouTube videos and 100 million how-to documents and appliance manuals. The project is supported by the National Science Foundation, the Office of Naval Research, the Army Research Office, Google, Microsoft, Qualcomm, the Alfred P. Sloan Foundation and the National Robotics Initiative, whose goal is to advance robotics to help make the United States more competitive in the world economy.
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