Build, simulate, and map environments in real-time using ROS 2 — with zero setup confusion.

SlamBot is a complete, ready-to-run SLAM simulation project designed for robotics students, researchers, and engineers who want a practical, hands-on implementation of localization and mapping using modern ROS 2 tools.

This project eliminates the usual complexity of ROS setups and gives you a plug-and-play SLAM pipeline — just unzip, build, and start mapping instantly.

🔥 Key Features

✅ Full ROS 2 Humble + Ignition Gazebo (GZ Sim) integration
✅ Real-time SLAM mapping using SLAM Toolbox
✅ Differential drive robot with realistic 4-wheel configuration
✅ Integrated GPU LiDAR sensor for accurate environment scanning
✅ Complete TF, odometry, and joint state pipeline
✅ Clean URDF/Xacro robot model with proper frame hierarchy
✅ RViz visualization for mapping, TF, and sensor data
✅ Keyboard-based teleoperation control (cmd_vel)
✅ Structured workspace → easy build & launch system
✅ Ready for extension to Navigation (Nav2), Path Planning, and AI

🎯 What You Will Learn

✔ ROS 2 architecture and workspace setup
✔ Real-time SLAM pipeline (scan → odom → map)
✔ Robot modeling and TF tree design
✔ Sensor integration (LiDAR + odometry fusion)
✔ Simulation in Ignition Gazebo
✔ Map generation for navigation systems

⚡ How It Works

1. Launch simulation in Gazebo
2. Control robot via keyboard
3. LiDAR scans the environment
4. SLAM Toolbox builds the map in real-time
5. Save generated map for future navigation

💻 System Requirements

• Ubuntu 22.04
• ROS 2 Humble
• Ignition Gazebo (GZ Sim)

📦 What You Get

📁 Complete ROS 2 workspace
📁 Fully structured packages (description + gazebo + SLAM)
📁 Launch files (RViz + Simulation modes)
📁 Pre-configured SLAM setup
📁 Ready-to-run project (no debugging headaches)
📁 Step-by-step instructions included

🚀 Perfect For

🎓 Robotics & Mechatronics Students
👨‍💻 ROS 2 Beginners & Intermediate Learners
🔬 Research & Academic Projects
📦 Engineers building navigation systems
📹 Content creators & demo projects

💡 Why Choose This Project?

Unlike basic tutorials, SlamBot gives you a complete working ecosystem — from robot modeling to real-time mapping — so you can focus on learning and building, not fixing errors.

🔥 Bonus Potential

This project can be easily extended to:
➡ Autonomous navigation (Nav2)
➡ Path planning algorithms
➡ Multi-robot SLAM
➡ AI-based perception systems