Developed a fuzzy logic controller for mobile robot navigation that effectively utilizes LiDAR sensor data for obstacle avoidance. Designed and implemented a two-input, two-output fuzzy logic system, ...

Many researcher present three input Fuzzy Controller for obstacle avoidance robots usually resulting in dead zone and difficulties in avoiding obstacles. A fusion model using Fuzzy logic is ...

Mobile robot is a type of robot that can move freely because it is equipped with motion elements such as wheels or legs. In guiding its motion, a mobile robot is equipped with a navigation system so ...

This project implements an obstacle avoidance system for a robot using fuzzy logic. LiDAR data is used for distance measurement, and the robot’s speed is adjusted based on proximity to obstacles. The ...