Giter VIP home page Giter VIP logo

juri17 / learning-robotics-using-python-second-edition Goto Github PK

View Code? Open in Web Editor NEW

This project forked from packtpublishing/learning-robotics-using-python-second-edition

0.0 0.0 0.0 1.92 MB

Codes of Learning Robotics using Python, Second Edition

Home Page: https://www.packtpub.com/in/hardware-and-creative/learning-robotics-using-python-second-edition

License: MIT License

CMake 4.04% Python 13.89% C++ 63.16% C 17.13% Processing 1.78%

learning-robotics-using-python-second-edition's Introduction

Learning Robotics using Python - Second Edition

Learning Robotics using Python - Second Edition

This is the code repository for Learning Robotics using Python - Second Edition, published by Packt.

Design, simulate, program, and prototype an autonomous mobile robot using ROS, OpenCV, PCL, and Python

What is this book about?

Robot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implementing different capabilities in a robot without implementing them from scratch.

This book covers the following exciting features:

  • Design a differential robot from scratch
  • Model a differential robot using ROS and URDF
  • Simulate a differential robot using ROS and Gazebo
  • Design robot hardware electronics
  • Interface robot actuators with embedded boards

If you feel this book is for you, get your copy today!

https://www.packtpub.com/

Instructions and Navigations

All of the code is organized into folders. For example, Chapter02.

The code will look like the following:

bpy.ops.mesh.primitive_cylinder_add(radius=0.006,
depth=0.04, location=(0.12,0,0.075))
bpy.context.object.rotation_euler[1] = 1.5708

Following is what you need for this book:

This book is for those who are conducting research in mobile robotics and autonomous navigation. As well as the robotics research domain, this book is also for the robot hobbyist community. You’re expected to have a basic understanding of Linux commands and Python.

With the following software and hardware list you can run all code files present in the book (Chapter 1-15).

Software and Hardware List

Chapter Software required OS required
1 ROS Kinetic or Melodic, Gazebo simulator Ubuntu 16.04 or 18.04
3 LibreCAD 2.0.8, Blender >=2.69, Meshlab 1.3.2 Ubuntu 16.04 or 18.04
5 Gazebo simulator Ubuntu 16.04 or 18.04
6 Energia 018 Ubuntu 16.04 or 18.04
7 OpenCV 3.3, PCL Ubuntu 16.04 or 18.04
8 ROS Kinetic or Melodic with gmapping and amcl, Gazebo simulator Ubuntu 16.04 or 18.04
9 Qt 4, rqt, pyqt and pyside Ubuntu 16.04 or 18.04

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.

Related products

Get to Know the Author

Lentin Joseph is an author and robotics entrepreneur from India. He runs a robotics software company called Qbotics Labs in India. He has 7 years of experience in the robotics domain primarily in ROS, OpenCV, and PCL. He has authored four books in ROS, namely, Learning Robotics using Python, Mastering ROS for Robotics Programming, ROS Robotics Projects, and Robot Operating System for Absolute Beginners. He is currently pursuing his master's in Robotics from India and is also doing research at Robotics Institute, CMU, USA.

Other books by the author

Suggestions and Feedback

Click here if you have any feedback or suggestions.

learning-robotics-using-python-second-edition's People

Contributors

qboticslabs avatar sharonraj123 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.