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Hands-On ROS for Robotics Programming

You're reading from   Hands-On ROS for Robotics Programming Program highly autonomous and AI-capable mobile robots powered by ROS

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781838551308
Length 432 pages
Edition 1st Edition
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Author (1):
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Bernardo Ronquillo Japón Bernardo Ronquillo Japón
Author Profile Icon Bernardo Ronquillo Japón
Bernardo Ronquillo Japón
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Table of Contents (19) Chapters Close

Preface 1. Section 1: Physical Robot Assembly and Testing
2. Assembling the Robot FREE CHAPTER 3. Unit Testing of GoPiGo3 4. Getting Started with ROS 5. Section 2: Robot Simulation with Gazebo
6. Creating the Virtual Two-Wheeled ROS Robot 7. Simulating Robot Behavior with Gazebo 8. Section 3: Autonomous Navigation Using SLAM
9. Programming in ROS - Commands and Tools 10. Robot Control and Simulation 11. Virtual SLAM and Navigation Using Gazebo 12. SLAM for Robot Navigation 13. Section 4: Adaptive Robot Behavior Using Machine Learning
14. Applying Machine Learning in Robotics 15. Machine Learning with OpenAI Gym 16. Achieve a Goal through Reinforcement Learning 17. Assessment 18. Other Books You May Enjoy

Getting started with Python and JupyterLab

JupyterLab is a very extensive tool in the Python community because it lets you write a program as if you were solving a mathematics problem in a school class. That is to say, you write the heading, then the problem statement and the initial data. After this declaration, you write a paragraph explaining the operation that you are going to perform, and then you write the Python line(s) that perform such operation in a code cell. For every operation you repeat the same steps:

  1. A human-readable paragraph explaining the next operation, which is formatted with the well-known markdown syntax https://commonmark.org/help/.
  2. A code cell with the lines of Python that perform the operation.
  3. Repeat steps 1 and 2 for every code snippet that perform a single operation. The final one will provide the solution to the problem..

Here's a self-explaining...

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