Using genetic algorithms for real-time object detection

P. 1-12This article presents a new approach to mobile robot vision systems based on genetic algorithms. The major contribution of the proposal is the real-time adaptation of genetic algorithms, which are generally used offline. In order to achieve this goal, the execution time must be as short as possible. The scope of the System is the robotic football competition Robocup whitin the Standard Platform category. The system developed detects and estimates distance and orientation to key elements on a football field, such as the ball and goals. Different experiments have been carried out whitin an official Robocup environmentS

Localization issues in the design of a humanoid goalkeeper for the RoboCup SPL

This article exposes the localization issues faced during the implementation of a humanoid goalkeeper to take part in the RoboCup SPL standardized soccer robot competition. For this task, we have used BICA, a state-driven, component-based architecture created by our counterparts in the URJC, to allow a much easier behavior design process. The use of BICA let us choose different self-localization methods in configuration time, and the possibility of using none in running time if some type of error appear