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A MOBILE ROBOT TARGET TRACKING VIA BRAIN LIMBIC SYSTEM BASED CONTROL

机译:基于大脑边缘系统的移动机器人目标跟踪

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In this paper, a Brain Limbic System (BLS)-based control algorithm is used to address the problem of stationary and moving target tracking in mobile robotics The mechanism of brain emotional learning is studied and the mathematical description of this approach in the form of BLS-based control is presented. The control strategy is driven by sensory input signal and emotional cue, and it uses these to generate appropriate velocity profile for the mobile robot to track its targets In addition, fuzzy clustering of the error and velocity pairs is proposed to improve the performance of the BLS-based control strategy. Finally, the simulation results illustrate the characteristics of the proposed control methods in view of the target's mobility.
机译:在本文中,基于脑边缘系统(BLS)的控制算法用于解决移动机器人中静止和运动目标的跟踪问题。研究了脑部情感学习的机制,并以BLS形式对该方法进行了数学描述基于控制。该控制策略由感官输入信号和情绪提示驱动,并使用它们来生成适当的速度曲线,以供移动机器人跟踪其目标。此外,提出了误差和速度对的模糊聚类以提高BLS的性能。基于控制策略。最后,仿真结果根据目标的机动性说明了所提出的控制方法的特征。

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