An obstacle-avoidance path-planning in robot soccer based on Refined Genetic Algorithms

An intelligent obstacle-avoidance algorithms in robot soccer based on Refined Genetic Algorithms is introduced in the paper and this method is used to plan the path of the robot in robot soccer based on Microsoft Robotics Simulation Platform. The genetic algorithms display a better obstacle-avoidance effect from the data based on Microsoft Robotics Simulation Platform 11 VS 11. Because of high fidelity robot car of the platform, the algorithms can be used in the real robot soccer and it is practically significant to achieve victory and reduce the loss of robot cars in competition.