Cognitive concepts in autonomous soccer playing robots
نویسندگان
چکیده
منابع مشابه
Cognitive concepts in autonomous soccer playing robots
Computational concepts of cognition, their implementation in complex autonomous systems, and their empirical evaluation are key techniques to understand and validate concepts of cognition and intelligence. In this paper we want to describe computational concepts of cognition that were successfully implemented in the domain of soccer playing robots and show the interactions between cognitive con...
متن کاملPlaying Soccer with Humanoid Robots
As step towards the long-term goal of winning against the FIFA world champion, the RoboCup Federation added in 2002 a league for humanoid robots to its annual soccer competitions. Now, the young Humanoid League raised the bar again. After preliminary competitions, for the first time, soccer games with humanoid robots were played in 2005. This article describes the technology of the humanoid soc...
متن کاملPlaying soccer with legged robots
Sony has provided a remarkable platform for re search and development in robotic agents namely fully autonomous legged robots In this paper we describe our work using Sony s legged robots to participate at the RoboCup legged robot demonstration and com petition Robotic soccer represents a very challenging environment for research into systems with multiple robots that need to achieve concrete o...
متن کاملAutonomous Soccer Robots
The Robocup 97 competition provides an excellent opportunity to demonstrate the techniques and methods of artificial intelligence, autonomous agents and computer vision. On a soccer field the core capabilities a player must have are to navigate the field, track the ball and other agents, recognize the difference between agents, collaborate with other agents, and hit the ball in the correct dire...
متن کاملImitative Reinforcement Learning for Soccer Playing Robots
In this paper, we apply Reinforcement Learning (RL) to a real-world task. While complex problems have been solved by RL in simulated worlds, the costs of obtaining enough training examples often prohibits the use of plain RL in real-world scenarios. We propose three approaches to reduce training expenses for real-world RL. Firstly, we replace the random exploration of the huge search space, whi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cognitive Systems Research
سال: 2010
ISSN: 1389-0417
DOI: 10.1016/j.cogsys.2009.12.003