Diseño e implementación de un Robot Soccer autónomo mediante visión artificial a través del sistema embebido Raspberry PI Zero

Abstract

This degree project deals with the design and implementation of an autonomous soccer robot that uses artificial vision as the main method of perception to play soccer autonomously. The system is based on the use of the Raspberry Pi Zero embedded system, which provides a flexible and low-cost development environment. The main objective of this research is to develop a robot capable of perceiving its environment, recognizing relevant objects such as the ball, and making strategic decisions to move and kick the ball in order to score goals. To achieve this, artificial vision techniques are used to process images captured by a camera and analyze the playing field in real time. The methodology used includes the configuration and programming of Raspberry Pi Zero with the Raspbian operating system, the installation and configuration of the machine vision software and the integration of the hardware components. Extensive testing is performed to evaluate the accuracy and performance of the system in a simulated test environment and in real game situations. This research contributes to the field of autonomous robotics and machine vision, demonstrating the feasibility of using Raspberry Pi Zero as a platform for developing autonomous soccer robot systems. It also provides a solid foundation for future research and improvements in the design and implementation of such systems.