LARC VSSS 2026

Welcome to the documentation for the RoBorregos team’s VSSS competition. This section is intended to guide you through the development and implementation of a multi-agent system.

Project Objective

The RoBorregos team’s goal in this competition is to develop a reinforcement learning model for a multi-agent system capable of playing soccer at scale. To that end, we present different sections of the project, including:

• Simulation
• Training
• Control and navigation
• Electronics and mechanics

Team Members

Local Competition (TMR 2026)

Focused on fast prototyping and validation of basic algorithms.

Member	Role	Contact
Iker Cossío	Programming, Vision, Electronics, Simulation
Luis Pachuca	Programming, Strategy
Ronaldo Castillo	Programming, Strategy
Fernando Carmona	Programming, Control
Angela Rosales	Mechanics
Melanie Canales	Electronics
Tania Pech	Project Management
~~Edwin Camarillo~~ *	~~Electronics~~
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> * Edwin Camarillo contributed to the local phase's early development. While the project has been fully redesigned for the international stage, his initial work served as the conceptual foundation and architectural baseline for our current implementation.

International Competition (Lars-Larc 2026)

Focused on simulation and perfecting prototypes designed for the local competition.

Member	Role	Contact
Iker Cossío	Programming, Vision, Simulation
Luis Pachuca	Programming, Simulation
Ronaldo Castillo	Programming, Simulation
Fernando Carmona	Programming, Control
Angela Rosales	Mechanics
Rebeca Gómez	Electronics

Contributing

We welcome contributions from the open-source community. If you are interested in improving our vision pipelines, RL models, or firmware, please feel free to open a Pull Request or contact any team member to explore how to get involved.

Contact Us

Have questions, suggestions, or feedback? Reach out to us through our individual emails or open an Issue in this repository.