This study investigates a fuzzy controller technique for autonomous robot navigation in both the static and dynamic environmental conditions and an excessive number of pathways to the destination. The design and implementation of a novel obstacle avoidance technique for autonomous robots are developed using the fuzzy controller-based multi-agent system. This method allows the Robot to identify dynamic or static unidentified objects while directing the Robot to prevent collisions and advance toward the objective. The Robot is capable of moving in a variety of environments. The Robot may communicate and travel in dynamic space by perceiving its surroundings and pursuing a free-collision route. This study covers creating a multi-agent system that includes fuzzy logic to regulate the robotic movements along a path reactive for effective Navigation. This project aims to develop an algorithm that allows the Robot to do distinct tasks to accomplish a unified objective, autonomous Navigation in a slightly unfamiliar environment. Under such a situation, the usage of a multi-agent system is advantageous. As a result, we created a framework made up of four agents responsible for sensing, Navigation, dynamic, and static obstacle avoidance. These agents communicate with one another via a coordinating mechanism.

本研究调查了一种用于在静态和动态环境条件下以及到达目的地的路径过多的自主机器人导航的模糊控制器技术。使用基于模糊控制器的多代理系统开发了一种用于自主机器人的新型避障技术的设计和实现。该方法允许机器人识别动态或静态不明物体，同时引导机器人防止碰撞并向目标前进。机器人能够在各种环境中移动。机器人可以通过感知周围环境并追寻自由碰撞路线在动态空间中进行通信和旅行。本研究涵盖创建一个多代理系统，该系统包括模糊逻辑以调节机器人沿反应路径的运动以实现有效导航。该项目旨在开发一种算法，使机器人能够执行不同的任务，以在稍微陌生的环境中完成统一的目标、自主导航。在这种情况下，使用多代理系统是有利的。因此，我们创建了一个由四个负责感知、导航、动态和静态避障的代理组成的框架。这些代理通过协调机制相互通信。