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Mastering ROS for Robotics Programming

You're reading from   Mastering ROS for Robotics Programming Design, build, and simulate complex robots using the Robot Operating System

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788478953
Length 580 pages
Edition 2nd Edition
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Authors (2):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Jonathan Cacace Jonathan Cacace
Author Profile Icon Jonathan Cacace
Jonathan Cacace
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Table of Contents (17) Chapters Close

Preface 1. Introduction to ROS FREE CHAPTER 2. Getting Started with ROS Programming 3. Working with 3D Robot Modeling in ROS 4. Simulating Robots Using ROS and Gazebo 5. Simulating Robots Using ROS and V-REP 6. Using the ROS MoveIt! and Navigation Stack 7. Working with pluginlib, Nodelets, and Gazebo Plugins 8. Writing ROS Controllers and Visualization Plugins 9. Interfacing I/O Boards, Sensors, and Actuators to ROS 10. Programming Vision Sensors Using ROS, Open CV, and PCL 11. Building and Interfacing Differential Drive Mobile Robot Hardware in ROS 12. Exploring the Advanced Capabilities of ROS-MoveIt! 13. Using ROS in MATLAB and Simulink 14. ROS for Industrial Robots 15. Troubleshooting and Best Practices in ROS 16. Other Books You May Enjoy

Simulating the robotic arm with Xtion Pro


Now that we have learned about the camera plugin definition in Gazebo, we can launch the complete simulation using the following command:

$ roslaunch seven_dof_arm_gazebo seven_dof_arm_with_rgbd_world.launch

We can see the robot model with a sensor on the top of the arm, as shown here:

Figure 2: Simulation of seven-DOF arm with Asus Xtion Pro in Gazebo

We can now work with the simulated rgb-d sensor as if it were directly plugged into our computer. So we can check whether it provides the correct image output.

Visualizing the 3D sensor data

After launching the simulation using the preceding command, we can check topics generated by the sensor plugin:

Figure 3: rgb-d image topics generated by Gazebo

Let's view the image data of a 3D vision sensor using the following tool called image_view:

  • View the RGB raw image:
$ rosrun image_view image_view image:=/rgbd_camera/rgb/image_raw
  • View the IR raw image:
$ rosrun image_view image_view image:=/rgbd_camera/ir/image_raw...
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