Self Driving and ROS 2 - Learn by Doing! Map & Localization

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Free Download Self Driving and ROS 2 - Learn by Doing! Map & Localization
Published 6/2024
Created by Antonio Brandi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 140 Lectures ( 22h 5m ) | Size: 12.1 GB

Create a ROS2 based Self-Driving robot and learn about Localization, Mapping and SLAM
What you'll learn:
Create a Real Self-Driving Robot
Master ROS2, the last version of the Robot Operating System
Implement Mapping algorithms
Implement Localization algorithms
Implement SLAM algorithms
Simulate a Self-Driving robot in Gazebo
Programming Arduino for Robotics Applications
Master Nav2
Probability Theory
Use Laser Sensors for real world applications
Master the slam_toolbox library
Requirements:
Basic knowledge of Python or C++
Basic knowledge of Linux
No prior knowledge of ROS or ROS 2 required
No prior knowledge of Robotics theory required
No hardware required. All the course can be followed also using only the PC
Description:
Would you like to build a real Self-Driving Robot using ROS2, the second and last version of Robot Operating System by building a real robot?Would you like to get started with Autonomous Navigation of Robot and dive into the theoretical and practical aspects of Localization, Mapping and SLAM from industry experts?The philosophy of this course is the Learn by Doing and quoting the American writer and teacher Dale Carnegie Learning is an Active Process. We learn by doing, only knowledge that is used sticks in your mind.In order for you to master the concepts covered in this course and use them in your projects and also in your future job, I will guide you through the learning of all the functionalities of ROS both from the theoretical and practical point of view.Each section is composed of three parts:Theoretical explanation of the concept and functionalityUsage of the concept in a simple Practical exampleApplication of the functionality in a real RobotThere is more! All the programming lessons are developed both using Python and C++ . This means that you can choose the language you are most familiar with or become an expert Robotics Software Developer in both programming languages!By taking this course, you will gain a deeper understanding of self-driving robots and ROS 2, which will open up opportunities for you in the exciting field of robotics.
Who this course is for:
Self-Driving enthusiast
Makers and Hobbists keen on robotics
Software developers taht wants to learn ROS 2 and Robotics
Students or Engineers that wants to learn how to buid a robot from scratch
Developers that already knows ROS 2 and that want to use it in a real world application
ROS Developers that want to learn and migrate to ROS 2
Robotics Engineers that wants to develop skills in Autonomous Navigation
Beginner Python developers curious about Self-Driving
Beginner C++ developers curious about Self-Driving
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Self Driving and ROS 2 - Learn by Doing! Map & Localization
Last updated 6/2024
Duration: 22h8m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 12.1 GB
Genre: eLearning | Language: English​

Create a ROS2 based Self-Driving robot and learn about Localization, Mapping and SLAM

What you'll learn
Create a Real Self-Driving Robot
Master ROS2, the last version of the Robot Operating System
Implement Mapping algorithms
Implement Localization algorithms
Implement SLAM algorithms
Simulate a Self-Driving robot in Gazebo
Programming Arduino for Robotics Applications
Master Nav2
Probability Theory
Use Laser Sensors for real world applications
Master the slam_toolbox library

Requirements
Basic knowledge of Python or C++
Basic knowledge of Linux
No prior knowledge of ROS or ROS 2 required
No prior knowledge of Robotics theory required
No hardware required. All the course can be followed also using only the PC

Description
Would you like to build a real
Self-Driving Robot
using
ROS2
, the second and last version of Robot Operating System by building a
real robot
?
Would you like to get started with
Autonomous Navigation
of Robot and dive into the theoretical and practical aspects of Localization, Mapping and SLAM from industry experts?
The philosophy of this course is the Learn by Doing and quoting the American writer and teacher Dale Carnegie
Learning is an Active Process. We learn by doing, only knowledge that is used sticks in your mind.
In order for you to master the concepts covered in this course and use them in your projects and also in your future job, I will guide you through the learning of all the functionalities of ROS both from the theoretical and practical point of view.
Each section is composed of three parts:
Theoretical
explanation of the concept and functionality
Usage of the concept in a simple
Practical
example
Application of the functionality in a real
Robot
There is more!
All the programming lessons are developed both using
Python
and
C++
. This means that you can choose the language you are most familiar with or become an expert
Robotics Software Developer
in both programming languages!
By taking this course, you will gain a deeper understanding of self-driving robots and ROS 2, which will open up opportunities for you in the exciting field of robotics.
Who this course is for:
Self-Driving enthusiast
Makers and Hobbists keen on robotics
Software developers taht wants to learn ROS 2 and Robotics
Students or Engineers that wants to learn how to buid a robot from scratch
Developers that already knows ROS 2 and that want to use it in a real world application
ROS Developers that want to learn and migrate to ROS 2
Robotics Engineers that wants to develop skills in Autonomous Navigation
Beginner Python developers curious about Self-Driving
Beginner C++ developers curious about Self-Driving

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Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

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