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Hands-On ROS for Robotics Programming

Hands-On ROS for Robotics Programming: Program highly autonomous and AI-capable mobile robots powered by ROS

By Bernardo Ronquillo Japón
$35.99 $24.99
Book Feb 2020 432 pages 1st Edition
eBook
$35.99 $24.99
Print
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eBook
$35.99 $24.99
Print
$48.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Feb 26, 2020
Length 432 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781838551308
Category :
Concepts :
toc View table of contents toc Preview Book toc Download Code

Key benefits

  • Learn fundamental ROS concepts and apply them to solve navigation tasks
  • Work with single board computers to program smart behavior in mobile robots
  • Understand how specific characteristics of the physical environment influence your robot’s performance

Description

Connecting a physical robot to a robot simulation using the Robot Operating System (ROS) infrastructure is one of the most common challenges faced by ROS engineers. With this book, you'll learn how to simulate a robot in a virtual environment and achieve desired behavior in equivalent real-world scenarios. This book starts with an introduction to GoPiGo3 and the sensors and actuators with which it is equipped. You'll then work with GoPiGo3's digital twin by creating a 3D model from scratch and running a simulation in ROS using Gazebo. Next, the book will show you how to use GoPiGo3 to build and run an autonomous mobile robot that is aware of its surroundings. Finally, you'll find out how a robot can learn tasks that have not been programmed in the code but are acquired by observing its environment. You'll even cover topics such as deep learning and reinforcement learning. By the end of this robot programming book, you'll be well-versed with the basics of building specific-purpose applications in robotics and developing highly intelligent autonomous robots from scratch.

What you will learn

Get to grips with developing environment-aware robots Gain insights into how your robots will react in physical environments Break down a desired behavior into a chain of robot actions Relate data from sensors with context to produce adaptive responses Apply reinforcement learning to allow your robot to learn by trial and error Implement deep learning to enable your robot to recognize its surroundings

What do you get with eBook?

Feature icon Instant access to your Digital eBook purchase
Feature icon Download this book in EPUB and PDF formats
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Feb 26, 2020
Length 432 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781838551308
Category :
Concepts :

Table of Contents

19 Chapters
Preface Packt Packt
Section 1: Physical Robot Assembly and Testing Packt Packt
Assembling the Robot Packt Packt
Unit Testing of GoPiGo3 Packt Packt
Getting Started with ROS Packt Packt
Section 2: Robot Simulation with Gazebo Packt Packt
Creating the Virtual Two-Wheeled ROS Robot Packt Packt
Simulating Robot Behavior with Gazebo Packt Packt
Section 3: Autonomous Navigation Using SLAM Packt Packt
Programming in ROS - Commands and Tools Packt Packt
Robot Control and Simulation Packt Packt
Virtual SLAM and Navigation Using Gazebo Packt Packt
SLAM for Robot Navigation Packt Packt
Section 4: Adaptive Robot Behavior Using Machine Learning Packt Packt
Applying Machine Learning in Robotics Packt Packt
Machine Learning with OpenAI Gym Packt Packt
Achieve a Goal through Reinforcement Learning Packt Packt
Assessment Packt Packt
Other Books You May Enjoy Packt Packt

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