Hands-On ROS for Robotics Programming: Program highly autonomous and AI-capable mobile robots powered by ROS
by: Bernardo Ronquillo Japón
Print Length 页数: 432 pages
Publisher finelybook 出版社: Packt Publishing (February 26,2020)
Language 语言: English
ISBN-10: 1838551301
ISBN-13: 9781838551308
Book Description
By finelybook
Take your ROS skills to the next level by: implementing complex robot structures in a ROS simulation
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
Contents
Preface
Section 1: Physical Robot Assembly and Testing
Chapter 1: Assembling the Robot
Chapter 2: Unit Testing of GoPiGo3
Chapter 3: Getting Started with ROS
Section 2: Robot Simulation with Gazebo
Chapter 4: Creating the Virtual Two-Wheeled ROS Robot
Chapter 5: Simulating Robot Behavior with Gazebo
Section 3: Autonomous Navigation Using SLAM
Chapter 6: Programming in ROS-Commands and Tools
Chapter 7: Robot Control and Simulation
Chapter 8: Virtual SLAM and Navigation Using Gazebo
Chapter 9: SLAM for Robot Navigation
Section 4: Adaptive Robot Behavior Using Machine Learning
Chapter 10: Applying Machine Learning in Robotics
Chapter 11: Machine Learning with OpenAl Gym
Chapter 12: Achieve a Goal through Reinforcement Learning
Assessment
Other Books You May Enjoy
Index
