Autonomous Obstacle-Avoiding Differential Drive Robot in MATLAB using Fuzzy Logic & LIDAR
🧠 Short Description
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!”