Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation

TL;DR

The paper introduces an open-source, gRPC-based framework that enables seamless, language-agnostic integration with RoboCup Soccer Simulation 2D, enhancing collaboration and flexibility for researchers using diverse programming languages.

Contribution

It presents a novel, efficient, and open-source framework that bridges language barriers in SS2D research, facilitating multi-language support and integration with existing high-performance code.

Findings

Supports multiple programming languages including CSharp, JavaScript, and Python

Maintains real-time computational efficiency in soccer simulations

Enhances collaborative research in multi-agent systems

Abstract

RoboCup Soccer Simulation 2D (SS2D) research is hampered by the complexity of existing Cpp-based codes like Helios, Cyrus, and Gliders, which also suffer from limited integration with modern machine learning frameworks. This development paper introduces a transformative solution a gRPC-based, language-agnostic framework that seamlessly integrates with the high-performance Helios base code. This approach not only facilitates the use of diverse programming languages including CSharp, JavaScript, and Python but also maintains the computational efficiency critical for real time decision making in SS2D. By breaking down language barriers, our framework significantly enhances collaborative potential and flexibility, empowering researchers to innovate without the overhead of mastering or developing extensive base codes. We invite the global research community to leverage and contribute to the Cross Language Soccer (CLS) framework, which is openly available under the MIT License, to drive forward the capabilities of multi-agent systems in soccer simulations.