Autonomous Obstacle-Avoiding Differential Drive Robot in MATLAB using Fuzzy Logic & LIDAR

A powerful MATLAB simulation of a realistic differential drive robot that uses LIDAR and fuzzy logic to intelligently avoid obstacles in real-time.

📦 What You’ll Get

✅ Full MATLAB Code (.m files)

✅ Ready-to-use .fis Fuzzy Logic Controller file

✅ Preconfigured simulation environment with LIDAR and real-time animation

✅ Graphs: robot trajectory, obstacle plots, sensor range, and fuzzy surfaces

✅ Rule Viewer & Surface Viewer (for fuzzy inference visualization)

✅ BONUS: LIDAR simulation with beam sweep + obstacle detection system

🛠️ Technical Features

🧭 Fuzzy Logic-Based Decision Making

📡 LIDAR Sensor Integration

🛞 Differential Drive Kinematics

🧱 Static Obstacle Avoidance

📊 Live Trajectory and Sensor Plots

🧠 Advanced Rule-Based Controller

💡 Realistic Robot Speed and Turning Behavior

🔄 Loop execution with real-time feedback

🎯 Learning Outcomes

Understand fuzzy logic for autonomous control

Learn sensor-based navigation using LIDAR

Build intelligent path planners for robots

Apply control theory in real simulation

Create real-time animation in MATLAB

🧑‍💻 Ideal For

Engineering Students

Robotics Enthusiasts

MATLAB Learners

Control Systems Developers

Final Year Projects

Researchers in AI Robotics

💬 Customer Reviews

⭐ “Exactly what I needed for my thesis!”

⭐ “Code is clean and well-documented. Loved the visuals.”

⭐ “Perfect for understanding fuzzy logic and LIDAR in robotics!”