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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

Teleoperating using hand gestures


The idea of this project is converting IMU orientation into the linear and angular velocity of the robot. Here is the overall structure of this project.

Figure 2: Basic structure of the gesture teleop project

For the IMU device, we are using an IMU called MPU-9250 (https://www.invensense.com/products/motion-tracking/9-axis/mpu-9250/). The IMU will interface with an Arduino board using the I2C protocol. The orientation values from the IMU are computed by the Arduino and send to PC through the rosserial protocol. The orientation values are received on the PC side as ROS topics and converted into twist messages using a ROS node.

Here is the project block diagram with the MPU 9250 and Arduino board:

Figure 3: Functional block diagram of the robot teleop project

We are using a hand glove in which an Arduino board is fixed in the palm area and an MPU-9250 is fixed on the finger area, as shown in the following image:

Figure 4: Hand glove with Arduino and MPU-9250...

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