ROS2 | Navigation & SLAM using turtlebot3 robot simulation

🚀 Exploring ROS2 Navigation and SLAM with TurtleBot3 in Simulation! 🐢
In the world of robotics, navigation and mapping are critical for autonomous systems. I've been diving deep into the ROS2 Navigation Stack (Nav2) and using SLAM (Simultaneous Localization and Mapping) to create maps in real-time with the simulated TurtleBot3.
🔍 Nav2 is the go-to solution for autonomous navigation in ROS2, allowing robots to move from point A to point B while avoiding obstacles and building accurate maps.
Key steps I followed:
🛠️ Set up the TurtleBot3 in Gazebo simulation.
🗺️ Integrated SLAM to build dynamic maps of the environment.
🤖 Configured Nav2 to handle path planning and obstacle avoidance.
🎯 Simulated autonomous navigation with real-time mapping and localization.
These tools are crucial for anyone working on autonomous driving systems, indoor robots, or any other applications requiring precise navigation and environmental awareness.
In this tutorial i used available packages for turtlebot3 and Navigation packages for navigation and used AMCL for predicting particles.
Using waypoints robot is simulated fully autonomous around the arena of the map.
If you’re interested in robotics and ROS2, feel free to connect-let's discuss and innovate together! 🌐
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