高速动态环境下的运动预测

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI:10.1109/ICTAI.2005.87

Yu Sheng, Yonghai Wu

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引用次数: 10

摘要

系统内在时滞的存在极大地影响了闭环系统的控制行为。为了减少延迟带来的影响，本文提出了一种基于神经网络的系统方法来预测高速、动态、竞争环境中物体的运动。将此方法应用于RoboCup小型联赛的比赛中，大大提高了控制系统的性能

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Motion prediction in a high-speed, dynamic environment

The immanent existence of system latency greatly affects the control behavior of a closed-loop system. In order to reduce the influence induced by latency, this paper proposes a systematic method based on neural network to predict the motion of objects in a high-speed, dynamic, and competitive environment. We apply this method to the competition of RoboCup Small Size League, which greatly improves the performance of our control system

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17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)

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