Fuzzy control and neural network control theories are detailed analysed, which can express the rules that are hardly described by the mathematical model, so they are suitable for the obstacle avoidance control of mobile robot.
详细分析了模糊控制和神经网络控制理论,二者可以表达那些难以用数学模型描述的规则,适合移动机器人的智能避障控制。
参考来源 - 嵌入式移动机器人避障研究与系统设计实现·2,447,543篇论文数据，部分数据来源于NoteExpress
A moving-target tracking and obstacle avoidance control system for unicycle mobile robots is proposed in this paper.
设计了双回路的双轮移动机器人运动目标追踪与避障控制方案。
Principle of fuzzy obstacle avoidance is analyzed and obstacle avoidance method is established based on fuzzy logic control according to the experience of peoples driving.
在此基础上分析了移动机器人的模糊避障原理，并建立了一种基于人的驾驶经验的模糊逻辑控制的路障躲避方法。
This article presents the decision of obstacle avoidance behavior, robot moving control based on neural network during obstacle avoidance process.
介绍了避障行为的决策、基于神经网络的机器人在避障过程中的运动控制等。
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