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ROS2 Ultimate Mobile Robotics Course for Beginners OpenCV

LeeAndro

Trusted Editor
Trusted Editor
ROS2 Ultimate Mobile Robotics Course for Beginners OpenCV
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 32 lectures (3h 8m) | Size: 2.64 GB

Basic Python programming and OpenCV > 3.


Start your ROS Developer Journey by Building Custom Robot ,Nodes , Workspaces and Packages

Learn ROS2 Basics

Learn to add Lidar and Camera sensors

Emulate your Sensors in Gazebo

Build Image Processing Pipeline to solve Computer Vision Tasks

2

Basics ROS2 Knowledge

This Course is on ROS2 Foxy Fritzoy on Linux .If you are interested in learning the fast growing technology then this course is for you !.

Outcomes After this Course : You can create

Custom Workspace

Custom Python Packages

Custom Python Nodes

Message Publishing Bandwidth and Frequency

Creation of Robot through URDF in XML

Launch files

RVIZ2 and Gazebo Simulation Fundamentals

Adding Virtual Sensors to your Robot

Camera

Lidar

Driving Differential Drive Control

Projects :

Obstacle Avoiding Custom Robots

Wall Following Robot

Line Following Prius Car with Computer Vision

Process of Explanation

Theory for Concepts building with interactive Writing and Comments

Writing Code for the nodes and concepts discussed

Analyzing the output and noting the resources utilized

Course Flow

I will be first teaching you some basics of ROS2 with the help of in-built ROS2 package "TurtleSim" . Then will start to move toward very useful concepts which are nodes , package, topic, messages etc.

This will lead us towards creation of our new package "Dolly" which is a car that we will be creating from scratch using URDF xml syntax . Next we will create its Gazebo and RVIZ2 3D simulator

With these simulators endless possibilities of projects will open by adding the virtual sensors to your Robot.

Robotics Enthusiasts looking to build one of their own Custom Projects based on Mobile Robotics

People Eager to Learn Robotics






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