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ROS Robotics Projects,

ROS Robotics Projects,

By : Ramkumar Gandhinathan
2.3 (3)
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ROS Robotics Projects,

ROS Robotics Projects,

2.3 (3)
By: Ramkumar Gandhinathan

Overview of this book

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.
Table of Contents (14 chapters)
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Summary

In this chapter, we looked at how to make use of Leap Motion sensors and VR headsets in Ubuntu with ROS. Additionally, we looked at how to set up the Leap Motion sensor in ROS and make use of a VR headset to visualize data in RViz. Later, we created a custom teleoperation node to help teleoperate a mobile robot in Gazebo using hand gestures that were recognized by the Leap Motion sensor. We also examined how to visualize the Gazebo environment using the VR headset. Using these skills, you could also manually control a real mobile robot, by only using hand gestures and especially those that are not in direct human vicinity.

In the next chapter, we will demonstrate how to detect and track a face in ROS.

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