Implement prediction of ball position in robot soccer using Kalman Filter

DOI

10.2991/icmse-15.2015.236How to use a DOI?

Keywords

Kalman Filter, Robot Soccer, FIRA 5v5, state equation

Abstract

In the robot soccer competition whether able to accurately predict the ball’s status direct impact on the completeness of the robot’s motion, also determining the result of the game. In this paper, we have using the Kalman Filter to optimize the status data collected by the system, eliminate the noises in the data, implement a more accurate prediction of the ball status in several time periods.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Cheng Yuan
AU  - Shuqin Li
PY  - 2015/12
DA  - 2015/12
TI  - Implement prediction of ball position in robot soccer using Kalman Filter
BT  - Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering
PB  - Atlantis Press
SP  - 1294
EP  - 1298
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-15.2015.236
DO  - 10.2991/icmse-15.2015.236
ID  - Yuan2015/12
ER  -