We have successfully implemented the autonomous navigation of UAV with our custom python node using LiDAR ; 2D mapping with Hector SLAM and 3D mapping using Octomap algorithms in the ROS simulation environment. We also implemented an algorithm to manage the battery life of the UAV though which the UAV can use to return home when the battery-level drops down to a certain percentage.

Designed a mobile robot controlled using Raspberry Pi. Used hector mapping and AMCL to map the environment and localize the robot. Dijkstra Algorithm was used to autonomously navigate the robot.

This repo showcases my implementations of GMapping, Google Cartographer, and Hector_Slam for 2D and 3D mapping, enabling autonomous indoor navigation for the 'minilab' robot. It integrates multiple LiDARs, including Hokuyo, VLP16, and RPLidar.