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.
publication date
2020-02-26
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
key features
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
approach
This book will help you know how a real robot works. You will acquire the foundations to build specific purpose applications in Robotics, such as the transport of materials within a factory or operating a self-driving car.
audience
If you are an engineer looking to build AI-powered robots using the ROS framework, this book is for you. Robotics enthusiasts and hobbyists who want to develop their own ROS robotics projects will also find this book useful. Knowledge of Python and/or C++ programming and familiarity with single board computers such as Raspberry Pi is necessary to get the most out of this book.
short description
ROS engineers face many issues while connecting the physical robot to a simulation-built-robot using the ROS infrastructure. This book offers step-by-step practical instructions to use a ROS simulation frame and implement it in your physical robot.
subtitle
Program highly autonomous and AI-capable mobile robots powered by ROS
keywords
GoPiGo robot, Robotic programming, Assembling Robot,Dexter OS,GoPiGo3,Dexter OS,Bloxter,Gazebo,RViz,Simulation,Autonomous navigation,Virtual SLAM,Machine Learning in Robotics,Reinforcement Learning,OpenAI Gym, ROS robot programming book, Robot OS
Product ISBN
9781838551308
