Robotic Navigation Using SLAM and ROS

This project focuses on autonomous robotic navigation using SLAM (Simultaneous Localization and Mapping) integrated with the Robot Operating System (ROS). It enables mobile robots to explore unknown environments while building accurate maps and localizing themselves in real time.

“The project is scalable and can be extended to 3D SLAM, multi-robot systems, or outdoor navigation using GPS and vision-based SLAM.”

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The system implements SLAM algorithms such as Gmapping or Cartographer within a ROS framework. Sensor data from LiDAR, IMU, and wheel encoders are fused to estimate the robot's position and generate a map of the environment. The navigation stack in ROS is used for path planning and obstacle avoidance. The robot autonomously navigates through indoor spaces, adapts to dynamic environments, and updates its map in real time. This solution is applicable in service robotics, industrial automation, and research.