Robots playing soccer? RoboCup poses a new set of AI research challenges
IEEE Expert: Intelligent Systems and Their Applications
A Fast Vision System for Middle Size Robots in RoboCup
RoboCup 2001: Robot Soccer World Cup V
Real-Time Vision Processing for a Soccer Playing Mobile Robot
RoboCup-97: Robot Soccer World Cup I
A Real-time Image Recognition System for Tiny Autonomous Mobile Robots
RTAS '04 Proceedings of the 10th IEEE Real-Time and Embedded Technology and Applications Symposium
Development of Local Vision-Based Behaviors for a Robotic Soccer Player
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
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A key function for an autonomous robot is recognition and tracking of pertinent objects observed through a camera. Real-time interpretation of camera images is critical to a robot's interaction with the physical world. This paper presents preliminary results in using artificial neural networks (ANN) to examine the pixels of an image. While processing all pixels through ANNs would jeopardize the real-time processing requirements, the accuracy gained facilitates use of algorithms that only need to examine a fraction of the pixels composing an image in order to recognize and track the objects of interest. Presented herein is a test environment and problem statement, description of a methodology that employed ANNs to address the problem, and details of the algorithms that interpret images. The results show a high degree of success within the domain of the test environment.