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ROS Robotics Projects

You're reading from  ROS Robotics Projects

Product type Book
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Pages 452 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (20) Chapters

ROS Robotics Projects
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Getting Started with ROS Robotics Application Development Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos Building a Siri-Like Chatbot in ROS Controlling Embedded Boards Using ROS Teleoperate a Robot Using Hand Gestures Object Detection and Recognition Deep Learning Using ROS and TensorFlow ROS on MATLAB and Android Building an Autonomous Mobile Robot Creating a Self-Driving Car Using ROS Teleoperating a Robot Using a VR Headset and Leap Motion Controlling Your Robots over the Web

Working with TurtleBot simulation in VR


We can start a TurtleBot simulation using the following command:

$ roslaunch turtlebot_gazebo turtlebot_playground.launch

You will get the TurtleBot simulation in Gazebo like this:

Figure 17: TurtleBot simulation in Gazebo

You can move the robot by launching the teleop node with the following command:

$ roslaunch turtlebot_teleop keyboard_teleop.launch

You can now move the robot using the keyboard. Launch the app again and connect to the ROS master running on the PC. Then, you can remap the Gazebo RGB image compressed data into an app image topic, like this:

$ rosrun topic_tools relay /camera/rgb/image_raw/compressed /usb_cam/image_raw/compressed

Now, what happens is that the robot camera image is visualized in the app, and if you put the phone into a VR headset, it will simulate a 3D environment. The following screenshot shows the split view of the images from Gazebo:

Figure 18: Gazebo image view in ROS-VR app

You can move the robot using a keyboard...

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