Overview

Course Updated to ROS NOETIC:Rating is for OLD version of this course ( for New Comers ) , New update to projects and way of explanation is what you are going to love:)Course Workflow:We will start by creating a custom robot named as Explorer Bot.Two wheel Differential Drive type , created from scratch using URDF containing joints, links are which are going to be explored in depth. Once the robot will be created we will add Gazebo Plugins into it ( Differential Drive and Laser Scanner ) into URDF of our robot . This will lead us to driving the robot and reading laser scan values from inside of simulation.After understanding all the basics of with a Custom mobile Robot we will move to a very well known ROS package SLAM which contains multiple nodes for mapping a environment , we will utilize Gmapping Node with lidar sensor as a source. Then we will bring in a 3D mesh of a pipeline of which we create a map.After that we will create a room for Autonomous Navigation using Gazebo Model Builder tool. Out robot will perform Autonomous drivign using Navigation Stack and Path Planning algorithms from Navigation Stack.Outcomes After this Course: You can create Custom Workspace Custom Python PackagesMobile Robots using URDFInertia Matrix Calculations for URDF LinksGazebo Plugin IntegrationDifferential Drive Laser Scanner Launch filesRVIZ and Gazebo Simulation Fundamentals3D CAD Model meshes in Gazebo SimulationPerforming SLAM using Gmapping NodeNavigation Stack Integration into custom RobotPath PlannersCost MapsProjects:Custom Differential Drive Robot CreationPipeline Exploration and Mapping RobotCustom Room creation and Autonomous Navigation in GazeboProcess of Explanation Theory for Concepts building with interactive Writing and CommentsWriting Code for the nodes and concepts discussedAnalyzing the output and noting the resources utilized Software Requirements Ubuntu 20.04ROS NoeticMotivated mind for a huge programming Project----------------------------------------- Before buying take a look into this course GitHub repository or message ( if you do not want to buy get the code at least and learn from it:) )

Skills

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