The Intelligent Decision-making and Collaboration Mechanism Design of the Soccer Robot System

Huangkun Chen; Liangxu Sun

doi:10.54097/atrs6b13

Authors

Huangkun Chen
Liangxu Sun

DOI:

https://doi.org/10.54097/atrs6b13

Keywords:

Decision-making, Collaboration, Soccer Robot

Abstract

The robot soccer competition integrates technologies such as vision, wireless communication, control, multi-sensor fusion, strategy, and simulation, with a focus on the intelligent soccer robot path decision-making subsystem. This paper briefly analyzes decision-making methods such as role allocation, time-region control, and self-tactics, with a primary focus on the top-down hierarchical reasoning model, emphasizing robot collaboration and reflecting the concept of multi-agent cooperation. During the implementation process, the code and functions of the decision subsystem are described in detail, and examples are provided to demonstrate how to achieve robot decision-making, tactical applications, and movement. Additionally, the effectiveness and performance of the system are verified through algorithm testing.

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References

[1] Wang Qiang, Shi Yinggang, Ye Binghui, et al. (2021). "Arc Shot Algorithm Design for FIRA Simulation 5V5 Robots." Computer Knowledge and Technology, 17(16): 12-15.

[2] Wang Yiping, Wang Yingkuan. (2024). "Frontier Agricultural Technology at the 2024 World FIRA." Agricultural Engineering Technology, 44(08): 9.

[3] Zhou Qiaojun, Bao Muze, Yu Haiqing, et al. (2024). "Design of a Football Robot Motion Experimental Platform Based on Machine Vision." Robot Technology and Application, (02): 37-40+46.

[4] hang Zheng, Jin Zibo, Xiang Xin, et al. (2024). "Design Method of a Multi-functional Football Training Robot Based on Trajectory Model." Journal of Xi'an University of Technology, 1-12.

[5] Wang Xuyang, Liang Zhiwei, Gao Xiang, et al. (2023). "Football Robot Local Trajectory Planning Based on Improved DWA Algorithm." Foreign Electronic Measurement Technology, 42(08): 1-9.

[6] Chen Jiali, Song Xiaoyan, Chen Weigao, et al. (2024). "Research on i Loboke Simulation Football Robot Based on SOM 3.4.2 Platform." Science and Technology Innovation and Application, 14(09): 21-24.

[7] Xu Junjie, Guo Lifeng, Liu Li, et al. (2023). "Feature Extraction for Accurate Positioning of Humanoid Football Robot's Vision System." Mechanical Design and Manufacturing, (06): 258-262. DOI: 10.19356/j.cnki.1001-3997. 20230224.002.

[8] Wang Jun, Chen Min, Dong Mingli, et al. (2022). "Research on Target Detection Algorithm Based on Multi-scale Feature Fusion." Optical Technology, 48(06): 749-754.

[9] Nie Shangwei. (2022). "Football Intelligent Robot Binocular Vision Goal Angle Positioning Method." Mechanical Design and Manufacturing, (12): 260-263+268.

[10] Zhang Zezheng, Wang Jun, Dong Mingli, et al. (2023). "Fast Detection Method of Humanoid Robot Key Points Based on Improved OpenPose." Laser Journal, 44(10): 65-70.