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The CMUnited-97 robotic soccer team: perception and multi-agent control

机译:CMUnited-97机器人足球队:感知和多主体控制

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摘要

Robotic soccer is a challenging research domain which involves multiple agents that need to collaborate in an adversarial environment to achieve specific objectives. In this paper, we describe CMUnited-97, the team of small robotic agents that wedeveloped to enter the RoboCup-97 competition. We designed and built the robotic agents, devised the appropriate vision algorithm, and developed and implemented algorithms for strategic collaboration between the robots in an uncertain and dynamicenvironment. The robots can organize themselves in formations, hold specific roles, and pursue their goals. In game situations, they have demonstrated their collaborative behaviors on multiple occasions. The robots can also switch roles to maximize theoverall performance of the team. We present an overview of the vision processing algorithm which successfully tracks multiple moving objects and predicts trajectories. The paper then focuses on the agent behaviors ranging from low level individualbehaviors to coordinated, strategic team behaviors. CMUnited-97 won the RoboCup-97 small-robot competition at IJCAI-97 in Nagoya, Japan.
机译:机器人足球是一个充满挑战的研究领域,涉及多个需要在对抗环境中进行协作以实现特定目标的特工。在本文中,我们描述了CMUnited-97,这是我们为参加RoboCup-97竞赛而开发的小型机器人代理团队。我们设计并构建了机器人代理,设计了合适的视觉算法,并开发和实现了在不确定和动态环境中机器人之间进行战略协作的算法。机器人可以组织自己,编排特定角色并追求目标。在游戏中,他们多次展示了他们的协作行为。机器人也可以切换角色以最大化团队的整体绩效。我们介绍了视觉处理算法的概述,该算法成功跟踪了多个运动物体并预测了轨迹。然后,本文重点关注从低级个人行为到协调的战略团队行为的代理行为。 CMUnited-97在日本名古屋的IJCAI-97赢得了RoboCup-97小机器人比赛。

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