Since its inception in 1997, RoboCup has developed into a truly unique and long-standing
research community advancing robotics and artificial intelligence through various …

We present a dataset specifically designed to be used as a benchmark to compare vision
systems in the RoboCup Humanoid Soccer domain. The dataset is composed of a collection …

Object detection techniques that achieve state-of-the-art detection accuracy employ
convolutional neural networks, implemented to have lower latency in graphics processing …

This article offers a literature review of goalkeeper robots in the context of the
RoboCupSoccer competition. The latter is one of the various league categories hosted by …

In this paper, we propose a real-time multi-class detection system for the NAO V6 robot in
the context of RoboCup SPL (Standard Platform League) using state-of-the-art structural …

The goal of this paper is to describe a vision system for humanoid robot soccer players that
does not use any color information, and whose object detectors are based on the use of …

The humanoid robot soccer system encounters a notable challenge in object detection,
primarily concentrating on identifying the ball and often neglecting crucial elements like …

RoboCup, which emerged by combining the fields of artificial intelligence and robotics, has
been one of the most interesting areas in the world in recent years. Real-time and accurate …

In this paper, we propose a real-time multi-class detection system for the NAO V6 robot in
the context of RoboCup SPL (Standard Platform League) using state-of-the-art structural …

A mis padres, por todo su cariño, apoyo, esfuerzo y guía que me han dado a lo largo de los
años y que me han vuelto quien hoy soy, gracias por todo y por alentarme a seguir mis …