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Hands-On ROS for Robotics Programming - Program highly autonomous and AI-capable mobile robots powered by ROS (Paperback)
Loot Price: R1,341
Discovery Miles 13 410
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Hands-On ROS for Robotics Programming - Program highly autonomous and AI-capable mobile robots powered by ROS (Paperback)
Expected to ship within 10 - 15 working days
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Take your ROS skills to the next level by implementing complex
robot structures in a ROS simulation 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 Book DescriptionConnecting 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 Who this book is forIf 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.
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