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You're reading from ROS Robotics Projects, Build and control robots powered by the Robot Operating System, machine learning, and virtual reality

Product type Paperback

Published in Dec 2019

Publisher Packt

ISBN-13 9781838649326

Length 456 pages

Edition 2nd Edition

Languages

C++

Tools

ROS

Concepts

Machine Learning

Author (1):

Ramkumar Gandhinathan

View More author details

Table of Contents (14) Chapters

Preface

1. Getting Started with ROS FREE CHAPTER

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

13. Other Books You May Enjoy

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Technical requirements

Let's look into the technical requirements for this chapter:

ROS Melodic Morenia on Ubuntu 18.04, with Gazebo 9 (preinstalled)
ROS packages: ros_control, ros_controllers, and gazebo_ros_control
Timelines and test platform:
- Estimated learning time: On average, 120 mins
- Project build time (inclusive of compile and run time): On average, 90 mins
- Project Test platform: HP Pavilion laptop (Intel® Core™ i7-4510U CPU @ 2.00 GHz × 4 with 8 GB Memory and 64-bit OS, GNOME-3.28.2)

The code for this chapter is available at https://github.com/PacktPublishing/ROS-Robotics-Projects-SecondEdition/tree/master/chapter_3_ws/src/robot_description.

Let's begin this chapter by understanding mobile manipulators.

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Authors (1)

Ramkumar Gandhinathan

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.

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