Dynamically-balancing robots have recently been made available by Segway LLC, in the form of the Segway RMP (Robot Mobility Platform). We have addressed the challenge of using these RMP robots to play soccer, building up upon our extensive previous work in this multi-robot research domain. In this paper, we make three contributions. First, we present a new domain, called Segway Soccer, for inve...

A new RoboCup soccer league is being developed, focussing on human-robot interaction. In this league each team consists of both human players, mounted on Segway HT scooters, and a robotic version of the Segway; both human and robot players must cooperate to score goals. This paper presents details of the physical design of our autonomous Segway Soccer robot and the modified Segway scooter that ...

The research of autonomous robots is one of the most important challenges in recent years. Among the numerous robot researches, the humanoid robot soccer competition is very popular. The robot soccer players rely on their vision systems very intensively when they are in the unpredictable and dynamic environments. This work proposes a simple and real-time object recognition system for the RoboCu...

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...

Robot soccer requires vision to be fast, accurate and reliable for a team to perform well. To win competitions, the vision system must work every day under all contest conditions. In practice, the field conditions for robot soccer can vary enormously from field to field, and even from day to day throughout a contest. This paper presents a system that can adapt to rapidly varying light and colou...

In this paper, we make two contributions. First, we present a new domain, called Segway Soccer, for investigating the coordination of dynamically formed, mixed human-robot teams within the realm of a team task that requires real-time decision making and response. Segway Soccer is a game of soccer between two teams consisting of Segway riding humans and Segway RMP-based robots. We believe Segway...

This paper presents an overview of a humanoid soccer robot, build out of readily available hardware. The system architecture is covered in detail thereby enabling the reader to build a starter system for entering bipedal, humanoid soccer competitions. The structure of motion-pages of a Bioloid robot is presented. A vision algorithm to detect goal posts, used for SelfLocalisation of the robot, i...

Omni directional mobile robots have been popularly employed in several applications especially in soccer player robots considered in Robocup competitions. However, omni directional navigation system, omni-vision system and omni-kick mechanism in such soccer player robots have not ever been combined. This situation brings the idea of a robot with no head direction into existence, i.e. a comprehe...

Robotic soccer is an adversarial multi-agent research domain, in which issues of perception, multi-agent coordination and team strategy are explored. One area of interest investigates heterogeneous teams of humans and robots, where the teammates must coordinate not as master and slave, but as equal participants. We research this peer-to-peer question within the domain of Segway soccer, where te...

The CMUMultiRobot Lab focuses on the study of team behavior in dynamic and uncertain environments. In order to further this research, we have developed an inexpensive autonomous robot platform, the Minnow. The CMU Hammerhead robot soccer team competes in the middle-size RoboCup competition using four of these Minnow robots. The 2001 CMU Hammerheads represent the evolution of the previous year’s...