Book Image

ROS Robotics Projects

Book Image

ROS Robotics Projects

Overview of this book

Robot Operating System is one of the most widely used software frameworks for robotic research and for companies to model, simulate, and prototype robots. Applying your knowledge of ROS to actual robotics is much more difficult than people realize, but this title will give you what you need to create your own robotics in no time! This book is packed with over 14 ROS robotics projects that can be prototyped without requiring a lot of hardware. The book starts with an introduction of ROS and its installation procedure. After discussing the basics, you’ll be taken through great projects, such as building a self-driving car, an autonomous mobile robot, and image recognition using deep learning and ROS. You can find ROS robotics applications for beginner, intermediate, and expert levels inside! This book will be the perfect companion for a robotics enthusiast who really wants to do something big in the field.
Table of Contents (20 chapters)
ROS Robotics Projects
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

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...