Abstract
This simulator is developed for Android Soccer Tournament (AndroSot) in FIRA. Due to the robot soccer game presents a dynamic and complex environment, it provides a challenging platform for multi-agent research. However, if there were some problems occurred in the robot actions and image processing algorithm, it is very difficult to run or test strategy systems. In order to solve these issues, a humanoid robot soccer competition’s strategy simulation system is proposed, which provides developer to test the feasibility and advancement of the game strategy. In this simulator, strategies which compiled to DLL files may be explicitly loaded at run-time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Rimon, E.: Exact robot navigation using artificial potential functions. IEEE Trans. on Robotics and Automation 8(5), 501–518 (1992)
Guo, Y.Z.: Design and implement ring potential field method for a three-on-three robot soccer game, Master Thesis, Dept. of Electrical Engineering, National Cheng Kung Univ., Tainan, Taiwan, R.O.C. (June 2002)
Barraquand, J., Latombe, J.C.: Robot motion planning: a distributed representation approach. International Journal Automation 10(6), 628–649 (1991)
Guldner, J., Utiken, V.I., Hashimoto, H., Harashima, F.: Tracking gradients of artificial potential fields with non-holonomic mobile robots. In: Proceedings of 1995 American Control Conference, pp. 2803–2804 (1995)
Park, M.G., Jeon, J.H., Lee, M.C.: Obstacle avoidance for mobile robots using artificial potential field approach with simulated annealing. In: Proceedings of IEEE Conf. on IEEE International Symposium, vol. 3, pp. 1530–1535 (2001)
Su, W., Meng, R., Yu, C.: A study on soccer robot path planning with fuzzy artificial potential field. In: Proceedings of 2010 International Conference on Computing, Control and Industrial Engineering (CCIE), vol. 1, pp. 386–390 (2010)
Xu, X., Xie, J., Xie, K.: Path planning and obstacle-avoidance for soccer robot based on artificial potential field and genetic algorithm. In: Proceedings of The Sixth World Congress on Intelligent Control and Automation, vol. 1, pp. 3494–3498 (2006)
Shi, H., Sun, C., Sun, X., Feng, T.: Chaotic potential field method and application in robot soccer game. In: Proceedings of The Sixth World Congress on Intelligent Control and Automation, pp. 9297–9301 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kuo, PH., Li, TH.S. (2011). Development of Simulator for AndroSot in FIRA. In: Li, TH.S., et al. Next Wave in Robotics. FIRA 2011. Communications in Computer and Information Science, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23147-6_29
Download citation
DOI: https://doi.org/10.1007/978-3-642-23147-6_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23146-9
Online ISBN: 978-3-642-23147-6
eBook Packages: Computer ScienceComputer Science (R0)