Position Prediction of Ball and Fuzzy Controller for Shooting Action in A Soccer Robot System
This work addresses motion control for robot soccer games, focusing on moving object capture and shooting, and is incremental as it builds on existing methods like Kalman filters with fuzzy control.
The paper tackled the problem of accurately predicting the position of a moving ball in a soccer robot system to improve shooting actions, using a Kalman filter and fuzzy controller, resulting in enhanced accuracy and robustness in tracking.
The robot soccer game based complex motion control has been widely studied for the moving object capture and shooting. A position prediction algorithm based on global vision is introduced in order to improve the accuracy and robustness of the vision system for tracking moving objects, including a Kalmanfiter, a dynamic window and an obstacle avoidance strategy. This paper deals with the positon prediction for moving ball by using Kalmanfiter and the Fuzzy Controller for shooting action in a dynamic environment.