Hands-On ROS for Robotics Programming: Program highly autonomous and AI-capable mobile robots powered by ROS - Image 1

£43.59

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

Name: Hands-On ROS for Robotics Programming: Program highly autonomous and AI-capable mobile robots powered by ROS
Brand: Packt Publishing
Price: 44.08 GBP
Availability: InStock

Introduction to Programming

Price History & Forecast

Last 23 days • 23 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 23 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £44 (21 days, 91.3%)

Price range: £44 - £44

Price levels: 2 different prices over 23 days

Description

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 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 Who this book is for 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. Table of Contents Assembling the Robot Unit testing of GoPiGo3 Getting started with ROS Creating the virtual two wheeled ROS robot Simulating the robot behavior in a virtual environment with Gazebo Programming in ROS: Commands and tools Robot control and simulation Virtual SLAM and navigation using Gazebo SLAM for robot navigation Applying Machine Learning in Robotics Machine Learning with OpenAI Gym on ROS Achieve a goal through Reinforcement Learning

Product Specifications

Brand: Packt Publishing
Format: Paperback
ASIN: 1838551301
Category: Books > Subjects > Computing & Internet > Programming > Introduction to Programming
Domain: Amazon UK
Release Date: 26 February 2020
Listed Since: 07 October 2019

Barcode

No barcode data available

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

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Mastering ROS for Robotics Programming: Best practices and troubleshooting solutions when working with ROS

Learn Robotics Programming: Build and control AI-enabled autonomous robots using the Raspberry Pi and Python

ROS Robotics Projects: Build and control robots powered by the Robot Operating System, machine learning, and virtual reality

Robotics at Home with Raspberry Pi Pico: Build autonomous robots with the versatile low-cost Raspberry Pi Pico controller and Python

ROS Robotics By Example - Second Edition: Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame

Build Autonomous Mobile Robot from Scratch using ROS: Simulation and Hardware (Maker Innovations Series)

Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques

Robot Operating System (ROS): The Complete Reference (Volume 5): 895 (Studies in Computational Intelligence, 895)

Robot Operating System (ROS): The Complete Reference (Volume 5): 895 (Studies in Computational Intelligence, 895)

Introduction to Intelligent Robot System Design: Application Development with ROS

Robot Operating System (ROS) for Absolute Beginners: Robotics Programming Made Easy

Approaches to Probabilistic Model Learning for Mobile Manipulation Robots: 89 (Springer Tracts in Advanced Robotics, 89)

A Concise Introduction to Robot Programming with ROS2

From AI to Robotics: Mobile, Social, and Sentient Robots

Introduction to Autonomous Robots: Mechanisms, Sensors, Acutators, and Algorithms

Robot Intelligence: An Advanced Knowledge Processing Approach (Advanced Information and Knowledge Processing)

Advanced Robotic Vehicles Programming: An Ardupilot and Pixhawk Approach

A Concise Introduction to Robot Programming with ROS 2

From AI to Robotics: Mobile, Social, and Sentient Robots

Intelligent Autonomous Drones with Cognitive Deep Learning: Build AI-Enabled Land Drones with the Raspberry Pi 4

Sensing, Intelligence, Motion: How Robots and Humans Move in an Unstructured World

Learning for Adaptive and Reactive Robot Control: A Dynamical Systems Approach (Intelligent Robotics and Autonomous Agents series)

Robot Operating System (ROS): The Complete Reference (Volume 2): 707 (Studies in Computational Intelligence, 707)

Computational Kinematics and Dynamics for Humanoid Robotics: From Theory to Practice with Python