Fuzzy Logic Obstacle Avoidance Robot with LIDAR in MATLAB

Описание: 🔗Download Complete Project:
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💡Experience intelligent robot navigation powered by Fuzzy Logic and LIDAR in this advanced MATLAB obstacle avoidance simulation.

In this video, I demonstrate how a mobile robot detects and avoids obstacles using a LIDAR sensor and a Fuzzy Inference System (FIS) implemented entirely in MATLAB. The controller processes real-time distance data and makes smooth, human-like navigation decisions — without traditional PID tuning or hard-coded rules.

This project is ideal for:
• Robotics & Control Engineering students
• MATLAB and Simulink learners
• Final Year Projects (FYP)
• MS / PhD research inspiration
• Engineers working on autonomous navigation

🚀 What You’ll Learn:

✔ How Fuzzy Logic improves obstacle avoidance
✔ LIDAR-based perception for mobile robots
✔ MATLAB implementation of Fuzzy Inference Systems
✔ Intelligent decision-making without classical controllers
✔ Smooth and stable robot navigation in dynamic environments

🧠 Technologies Used:

• MATLAB
• Fuzzy Logic Toolbox
• LIDAR Sensor Modeling
• Mobile Robot Kinematics
• Intelligent Control Systems

This simulation demonstrates real-world autonomous behavior, making it suitable for research, teaching, and commercial engineering projects.

📌 Want the Full Project?

If you’re interested in the complete MATLAB code, editable FIS files, or a ready-to-use academic project, check the links in the description or contact me directly.

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