Abstract Purpose of Review The field of humanoid robotics, perception plays a fundamental
role in enabling robots to interact seamlessly with humans and their surroundings, leading to …

The need for labeled training data for object recognition in RoboCup increased due to the
spread of deep learning approaches. Creating large sets of training images from different …

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

With the emergence of onboard vision processing for areas such as the internet of things
(IoT), edge computing and autonomous robots, there is increasing demand for …

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 …

Ball detection is one of the most important tasks in the context of soccer-playing robots. The
ball is a small moving object which can be blurred and occluded in many situations. Several …

RoboCupJunior is a project-oriented competition for primary and secondary school students
that promotes robotics, computer science and programing. Through real life scenarios …

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 …

This team description paper presents the developments made by the joint team Hamburg Bit-
Bots & WF-Wolves. We present new software approaches we programmed and evaluated …

Sports are very popular and watched by a great percentage of the population in the world.
As technology progresses, sports as well as the way of playing sports has changed …