This paper presents a vision system for ball detection and tracking in the context of the
RoboCup Soccer Humanoid League Kidsize category. The system aims to enable …

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 …

In the realm of robotic soccer, the ability to swiftly and accurately recognize opponents is
crucial for effective game play. This thesis delves into the ins and outs of real-time object …

Humanoid soccer robots perceive their environment exclusively through cameras. This
paper presents a monocular vision system that was originally developed for use in the …

Humanoid robot soccer perceives environment mostly through cameras. The performance
decrement in our humanoid soccer platform (EROS) is primarily due to the visual perception …

The goal of this paper is to propose a vision system for humanoid robotic soccer that does
not use any color information. The main features of this system are:(i) real-time operation in …

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

We are proposing an Open Source ROS vision pipeline for the RoboCup Soccer context. It is
written in Python and offers sufficient precision while running with an adequate frame rate on …

A humanoid robot capable of playing soccer needs to identify several objects in the soccer
field in order to play soccer. The robot has to be able to recognize the ball, teammates and …

In this paper, a humanoid robot soccer perception system, consisting of a ball, field
detection, and localization, is developed in order to deal with the new rules in RoboCup …