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README.md

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-A modular navigation stack built by Project MANAS
+# SLAM_GMAPPING
+SLAM(Simultaneous Localization and Mapping) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
+
+This contains package ```openslam_gmapping``` and ```slam_gmapping``` which is a ```ROS2 Crystal Clemmys``` wrapper for OpenSlam's Gmapping. Using slam_gmapping, you can create a 2-D occupancy grid map (like a building floorplan) from laser and pose data collected by a mobile robot.
+
+## Launch:
+
+```bash
+ros2 launch slam_gmapping slam_gmapping.launch.py
+```
+
+The node slam_gmapping subscribes to sensor_msgs/LaserScan on ros2 topic ``scan``. It also expects appropriate TF to be available.
+
+It publishes the nav_msgs/OccupancyGrid on ``map``. 
+
+Map Meta Data and Entropy is published on ``map_metadata`` and ``entropy`` respectively.