Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
本文以足球仿真机器人系统为研究平台，研究多智能体对抗系统的高层策略学习问题。
In the paper, the construct of mechanism of the robot is introduced, and the studies on kinematics and work space are made, and the applied prospects of the robot are analyzed.
文中首先介绍了该机器人的机构与系统构成，然后进一步研究了运动学与工作空间，最后介绍了该机器人的应用前景。
However, these studies are almost always for a single robot, while there is a little even no study of using two series robots on its work space and error compensation.
但是，这些研究几乎都是针对单一机器人的，利用两台机器人串接来研究机器人的工作空间和误差补偿等却很少甚至没有。
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