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Abstract:
Kansas State University competed in both the robot division and the software division oof the AAAI 2007 Semantic Vision Challenge. The team used a Pioneer P3AT robot, scalable client/server software architecture, path-planning code, and a set of image classifiers that were autonomously trained on images downloaded from the internet. The team succeeded in identifying multiple objects in the environment.