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Neural networks for the control of soccer robots

机译:用于足球机器人控制的神经网络

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摘要

In 1995 robot soccer was introduced with the purpose to develop intelligent, cooperative multi-robot (agents) systems. Robot soccer provides a good opportunity to test control strategies and methods of Multi-Agent-Systems. From the scientific viewpoint a soccer robot is an intelligent, autonomous agent which should carry out its task in cooperative, coordinated, and communicative way with other agents. The group behavior of agents and the behavior of a single agent should be explored. One of the single agent's behaviors is the motion control. The desired velocity of each wheel is generated and sent to the robot comparing the desired and actual position of the robot. The mostly used motion controller today is the digital PID-controller. In this paper as a "modern", intelligent control algorithm a neural network will be introduced and tested by simulation as well as the real robots.
机译:1995年引入了足球机器人,其目的是开发智能的协作式多机器人(代理)系统。足球机器人为测试多智能体系统的控制策略和方法提供了一个很好的机会。从科学的角度来看,足球机器人是一种智能的自主代理,应该与其他代理以协作,协调和交流的方式执行其任务。应该探讨代理的群体行为和单个代理的行为。运动控制是单一代理的行为之一。产生每个车轮的期望速度,并比较机器人的期望位置和实际位置,然后将其发送到机器人。当今最常用的运动控制器是数字PID控制器。在本文中,作为“现代”智能控制算法的神经网络将被引入并通过仿真以及实际机器人进行测试。

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