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  • 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

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.

  • 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
Page Count 432
Course Length 12 hours 57 minutes
ISBN 9781838551308
Date Of Publication 26 Feb 2020


Bernardo Ronquillo Japón

Bernardo Ronquillo Japón is an Internet of Things (IoT) and robotics expert who has worked for top technology companies since 1995, including Instituto de Astrofísica de Canarias, Gran Telescopio Canarias, Altran, and Alestis Aerospace. Using his skills and experience, he founded The Robot Academy, where he develops open source hardware and software solutions for engineers and makers: Social Robot IO (2015), for the stimulation of children with autistic spectrum disorder; Robot JUS (2016), which helps engineers get deeper technical insights with the Robot Operating System (ROS) when using low-complexity hardware; and IIoT All-in-One (2018) as an industrial IoT training package for assisting companies in their digital transformation process.