Position Prediction of Ball and Fuzzy Controller for Shooting Action in A Soccer Robot System
GyongIl Ryang, MyongSong Choe, YongChol Sin
TL;DR
This paper presents a position prediction algorithm using Kalman filter and fuzzy control for improved shooting accuracy in a soccer robot system, enhancing tracking robustness in dynamic environments.
Contribution
It introduces a novel combination of Kalman filter and fuzzy controller for accurate ball position prediction and shooting in robot soccer.
Findings
Enhanced tracking accuracy in dynamic environments
Improved shooting success rate
Robustness against obstacles
Abstract
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.
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Taxonomy
TopicsAdvanced Vision and Imaging · Video Surveillance and Tracking Methods · Robotics and Sensor-Based Localization