ROS Robotics Projects, 2/e (Paperback)
暫譯: ROS 機器人專案，第二版 (平裝本)

Ramkumar Gandhinathan , Lentin Joseph

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商品描述

Key Features

  • Create and program cool robotic projects using powerful ROS libraries
  • Build industrial robots like mobile manipulators to handle complex tasks
  • Learn how reinforcement learning and deep learning are used with ROS

Book Description

Nowadays, heavy industrial robots placed in workcells are being replaced by new age robots called cobots, which don't need workcells. They are used in manufacturing, retail, banks, energy, and healthcare, among other domains. One of the major reasons for this rapid growth in the robotics market is the introduction of an open source robotics framework called the Robot Operating System (ROS).

This book covers projects in the latest ROS distribution, ROS Melodic Morenia with Ubuntu Bionic (18.04). Starting with the fundamentals, this updated edition of ROS Robotics Projects introduces you to ROS-2 and helps you understand how it is different from ROS-1. You'll be able to model and build an industrial mobile manipulator in ROS and simulate it in Gazebo 9. You'll then gain insights into handling complex robot applications using state machines and working with multiple robots at a time. This ROS book also introduces you to new and popular hardware such as Nvidia's Jetson Nano, Asus Tinker Board, and Beaglebone Black, and allows you to explore interfacing with ROS. You'll learn as you build interesting ROS projects such as self-driving cars, making use of deep learning, reinforcement learning, and other key AI concepts.

By the end of the book, you'll have gained the confidence to build interesting and intricate projects with ROS.

What you will learn

  • Grasp the basics of ROS and understand ROS applications
  • Uncover how ROS-2 is different from ROS-1
  • Handle complex robot tasks using state machines
  • Communicate with multiple robots and collaborate to build apps with them
  • Explore ROS capabilities with the latest embedded boards such as Tinker Board S and Jetson Nano
  • Discover how machine learning and deep learning techniques are used with ROS
  • Build a self-driving car powered by ROS
  • Teleoperate your robot using Leap Motion and a VR headset

Who this book is for

If you're a student, hobbyist, professional, or anyone with a passion for learning robotics and interested in learning about algorithms, motion control, and perception capabilities from scratch, this book is for you. This book is also ideal for anyone who wants to build a new product and for researchers to make the most of what's already available to create something new and innovative in the field of robotics.

商品描述(中文翻譯)

**主要特點**

- 使用強大的 ROS 函式庫創建和編程酷炫的機器人專案
- 建造像移動操控器這樣的工業機器人以處理複雜任務
- 學習強化學習和深度學習如何與 ROS 一起使用

**書籍描述**

如今，重型工業機器人在工作單元中的應用正被稱為協作機器人（cobots）的新型機器人所取代，這些機器人不需要工作單元。它們被廣泛應用於製造、零售、銀行、能源和醫療等領域。機器人市場快速增長的主要原因之一是開源機器人框架——機器人操作系統（Robot Operating System, ROS）的引入。

本書涵蓋了最新的 ROS 發行版，ROS Melodic Morenia 與 Ubuntu Bionic (18.04)。從基礎開始，這本更新版的 ROS 機器人專案將介紹 ROS-2，並幫助你理解它與 ROS-1 的不同之處。你將能夠在 ROS 中建模並構建一個工業移動操控器，並在 Gazebo 9 中進行模擬。接著，你將深入了解如何使用狀態機處理複雜的機器人應用，並同時與多個機器人協作。本書還將介紹新型和受歡迎的硬體，如 Nvidia 的 Jetson Nano、Asus Tinker Board 和 Beaglebone Black，並讓你探索如何與 ROS 進行介接。你將在構建有趣的 ROS 專案（如自駕車）時學習，並利用深度學習、強化學習及其他關鍵的人工智慧概念。

在書籍結束時，你將獲得信心，能夠使用 ROS 構建有趣且複雜的專案。

**你將學到什麼**

- 掌握 ROS 的基本知識並理解 ROS 應用
- 發現 ROS-2 與 ROS-1 的不同之處
- 使用狀態機處理複雜的機器人任務
- 與多個機器人進行通信並協作構建應用
- 探索最新嵌入式板（如 Tinker Board S 和 Jetson Nano）的 ROS 功能
- 發現機器學習和深度學習技術如何與 ROS 一起使用
- 構建一個由 ROS 驅動的自駕車
- 使用 Leap Motion 和 VR 頭盔遠程操作你的機器人

**本書適合誰**

如果你是學生、愛好者、專業人士，或任何對學習機器人技術充滿熱情並希望從零開始學習算法、運動控制和感知能力的人，本書非常適合你。本書也非常適合任何希望構建新產品的人，以及研究人員利用現有資源創造新穎和創新的機器人技術。

作者簡介

Ramkumar is a roboticist and a researcher by profession. He started building robots since his sixth grade and has been into the robotics field for over 15 years through personal and professional connect. He has built, in person, over 80+ robots of different types. With an overall professional experience of 7 years (4 years full time and 3 years part-time/internship) in the robotics industry, he has ROS experience of 5 years. As a part of his professional career, he has built over 15+ industrial robot solutions using ROS. He also fascinates building drones and is a drone pilot by practice. His research interests and passion are towards the field of SLAM, motion planning, sensor fusion, multi-robot communication, and systems integration.

Lentin Joseph is an author, roboticist and robotics entrepreneur from India. He runs a robotics software company called Qbotics Labs in Kochi/Kerala. He has 8 years of experience in the robotics domain primarily in Robot Operating System, OpenCV, and PCL.

He has authored several books in ROS, namely, Learning Robotics using Python first and second edition, Mastering ROS for Robotics Programming first and second edition, ROS Robotics Projects, and Robot Operating System for Absolute Beginners.

He has pursued his Masters in Robotics and Automation from India and also worked at Robotics Institute, CMU, USA. He is also a TEDx speaker.

作者簡介(中文翻譯)

Ramkumar 是一位機器人專家和研究人員。他從六年級開始建造機器人，並在個人和專業的連結下，已經在機器人領域工作超過15年。他親自建造了超過80種不同類型的機器人。在機器人產業中，他擁有7年的專業經驗（4年全職和3年兼職/實習），並且在ROS方面有5年的經驗。作為其專業生涯的一部分，他使用ROS建造了超過15個工業機器人解決方案。他對建造無人機充滿熱情，並且是一名實踐中的無人機駕駛員。他的研究興趣和熱情集中在SLAM、運動規劃、感測器融合、多機器人通信和系統整合等領域。

Lentin Joseph 是來自印度的作者、機器人專家和機器人企業家。他在喀拉拉邦的科欽經營一家名為Qbotics Labs的機器人軟體公司。他在機器人領域擁有8年的經驗，主要專注於機器人操作系統（Robot Operating System）、OpenCV和PCL。

他著有幾本關於ROS的書籍，包括《Learning Robotics using Python》第一版和第二版、《Mastering ROS for Robotics Programming》第一版和第二版、《ROS Robotics Projects》和《Robot Operating System for Absolute Beginners》。

他在印度獲得了機器人與自動化的碩士學位，並曾在美國卡內基梅隆大學的機器人研究所工作。他也是一位TEDx演講者。

目錄大綱

Table of Contents

  1. Getting Started with ROS
  2. Introduction to ROS-2 and Its Capabilities
  3. Building an Industrial Mobile Manipulator
  4. Handling Complex Robot Tasks Using State Machines
  5. Building an Industrial Application
  6. Multi-Robot Collaboration
  7. ROS on Embedded Platforms and Their Control
  8. Reinforcement Learning and Robotics
  9. Deep Learning Using ROS and TensorFlow
  10. Creating a Self-Driving Car Using ROS
  11. Teleoperating Robots Using a VR Headset and Leap Motion
  12. Face Detection and Tracking Using ROS, OpenCV, and Dynamixel Servos

目錄大綱(中文翻譯)

Table of Contents


  1. Getting Started with ROS

  2. Introduction to ROS-2 and Its Capabilities

  3. Building an Industrial Mobile Manipulator

  4. Handling Complex Robot Tasks Using State Machines

  5. Building an Industrial Application

  6. Multi-Robot Collaboration

  7. ROS on Embedded Platforms and Their Control

  8. Reinforcement Learning and Robotics

  9. Deep Learning Using ROS and TensorFlow

  10. Creating a Self-Driving Car Using ROS

  11. Teleoperating Robots Using a VR Headset and Leap Motion

  12. Face Detection and Tracking Using ROS, OpenCV, and Dynamixel Servos

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