Physical simulation is an effective and practical method, to apply to the study and exploration of real world problems. However, simulation can offer valuable results for robotics only in close connection to real robots. In this thesis, we investigated how to create a mechanism that provides a smooth gradient to transfer humanoid robot control from simulated robot to real robot. We developed a ...

R oboCup was created in 1996 by a group of Japanese, American, and European artificial intelligence and robotics researchers with a formidable, visionary long-term challenge: By 2050 a team of robot soccer players will beat the human World Cup champion team. At that time — the mid 1990s — there were very few effective mobile robots, and the Honda P2 humanoid robot had just been presented to the...

From 2008 on, the RoboCup competitions are going to host four distinct humanoid robot soccer leagues: the Standard Platform League (using the Nao robot of Aldebaran Robotics), the KidSize League (custom robots smaller than 60cm), the 3D Soccer Simulation League, and the TeenSize League (custom robots larger than 100cm). Currently, each of these leagues defines their own rule framework and resea...

Autonomous soccer games represent an extraordinary challenge for autonomous humanoid robots which must act fast and stable while carrying all needed onboard computers, sensors and batteries. In this paper, the development and system integration of hardware and software modules of the 55 cm tall, autonomous humanoid soccer robot Bruno is described to cope with this challenge. Altough based on a ...

The aim of this paper is to propose a robot referee for robot soccer. This idea is implemented using a service robot that moves along one of the field sides, uses its own cameras to analyze the game, and communicates its decisions to the human spectators using speech, and to the robot players using wireless communication. The robot uses a video-based game analysis toolbox that is able to analyz...

In humanoid robotic soccer, many factors, both at low-level (e.g., vision and motion control) and at high-level (e.g., behaviors and game strategies), determine the quality of the robot performance. In particular, the speed of individual robots, the precision of the trajectory, and the stability of the walking gaits, have a high impact on the success of a team. Consequently, humanoid soccer rob...

Robotic football with humanoid robots is a multidisciplinary field connecting several scientific fields. A challenging task in the design of robot for AndroSot and HuroCup competitions realization movement on field. This study aims to determine walking pattern an impact its dynamic stability behavior. The proposed technical concept depends management mechanism, speed such factors as chosen appr...

Pose estimation commonly refers to computer vision methods that recognize people’s body postures in images or videos. With recent advancements deep learning, we now have compelling models tackle the problem real-time. Since these are usually designed for human images, one needs adapt existing work on other creatures, including robots. This paper examines different state-of-the-art pose and prop...

For many target optimization and learning tasks the sample cost of performing the task is very expensive or time consuming such that attempting to directly employ a learning algorithm on the task becomes intractable. For this reason learning is instead often performed on a less expensive task that is believed to be a reasonable approximation of the actual target task. This paper serves to prese...