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

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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Publication Details

Journal
Frontiers in Computing and Intelligent Systems
Published
2024-11-26
DOI
https://doi.org/10.54097/atrs6b13
Primary Topic
Simulation and Modeling Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Sun Liangxu -, H.q. Chen
Frontiers in Computing and Intelligent Systems
Simulation and Modeling Applications
article

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

Sun Liangxu -, H.q. Chen
article en

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.

Frontiers in Computing and Intelligent SystemsVol. 10(2)
Peace, Justice and strong institutions
Openalex Percentile: Top 75%
Simulation and Modeling Applications
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