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ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos FREE CHAPTER 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Summary


This chapter was about making a gesture-based teleoperation project for a ROS-based robot. We used an IMU to detect gestures and interfaced with the Arduino to get the values from the IMU. The Arduino is interfaced with ROS using the ROS serial protocol. The PC is running a ROS node that can convert IMU orientation into linear and angular velocity and send it as a twist message. This twist message can be used in any robot just by changing the teleop topic name. We can also visualize the IMU orientation data in Rviz using TF data from Arduino. If it is too difficult to build this circuit, we can use an Android app called ROS Control that can move the robot using the inbuilt IMU on the phone.

In the next chapter, we'll be dealing with 3D object recognition using ROS.

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