Towards Robot Soccer Team Behaviours Through Approximate Simulation

S. R. Young, S. Chalup
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Abstract

Robot soccer is now recognized as one of the most popular and efficient testbeds for intelligent robotics. It involves many challenges for computation, mechanics, control, software engineering, machine learning, and other fields. The international RoboCup initiative supports research into robot soccer and provides an excellent environment to investigate machine learning for robotics in simulation and the real world
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基于近似模拟的机器人足球队行为研究
机器人足球现在被认为是智能机器人最流行和最有效的测试平台之一。它涉及计算、力学、控制、软件工程、机器学习和其他领域的许多挑战。国际机器人世界杯计划支持机器人足球的研究,并为研究模拟和现实世界中的机器人机器学习提供了良好的环境
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