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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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Toc

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

Creating a teleoperation node using the Leap Motion controller

In this section, we can see how to create a teleoperation node for a robot using Leap Motion data. The procedure is very simple. We have to create a ROS package for this node. The following is the command to create a new package. You can also find this package from chapter_11_codes/vr_leap_teleop.

$ catkin_create_pkg vr_leap_teleop roscpp rospy std_msgs visualization_msgs geometry_msgs message_generation visualization_msgs

After creation, you can use catkin_make. Now, let's create the node to convert Leap Motion data to Twist. You can create a folder called scripts inside the vr_leap_teleop package. Now you can copy the node called vr_leap_teleop.py from the existing package. Let's see how this code works.

We need the following Python modules in this node. Here, we require message definitions from the leap_motion package, which is the driver package.

    import rospy 
    from leap_motion.msg import leap 
    from leap_motion...
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