Book Image

ROS Programming: Building Powerful Robots

By : Anil Mahtani, Aaron Martinez, Enrique Fernandez Perdomo, Luis Sánchez, Lentin Joseph
Book Image

ROS Programming: Building Powerful Robots

By: Anil Mahtani, Aaron Martinez, Enrique Fernandez Perdomo, Luis Sánchez, Lentin Joseph

Overview of this book

This learning path is designed to help you program and build your robots using open source ROS libraries and tools. We start with the installation and basic concepts, then continue with the more complex modules available in ROS, such as sensor and actuator integration (drivers), navigation and mapping (so you can create an autonomous mobile robot), manipulation, computer vision, perception in 3D with PCL, and more. We then discuss advanced concepts in robotics and how to program using ROS. You'll get a deep overview of the ROS framework, which will give you a clear idea of how ROS really works. During the course of the book, you will learn how to build models of complex robots, and simulate and interface the robot using the ROS MoveIt motion planning library and ROS navigation stacks. We'll go 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 beginner, intermediate, and expert ROS robotics applications inside! It includes content from the following Packt products: ? Effective Robotics Programming with ROS - Third Edition ? Mastering ROS for Robotics Programming ? ROS Robotics Projects
Table of Contents (37 chapters)
Title page
Copyright and Credits
Packt Upsell
Preface
Bibliography
Index

Recognizing objects


There are several commands to start recognition using a trained model.

Starting roscore:

$ roscore

Starting the ROS driver for Kinect:

$ roslaunch openni_launch openni.launch

Setting the ROS parameters for the Kinect driver:

$ rosrun dynamic_reconfigure dynparam set /camera/driver depth_registration True$ rosrun dynamic_reconfigure dynparam set /camera/driver image_mode 2$ rosrun dynamic_reconfigure dynparam set /camera/driver depth_mode 2

Republishing the depth and RGB image topics using topic_tools relay:

$ rosrun topic_tools relay /camera/depth_registered/image_raw /camera/depth/image_raw$ rosrun topic_tools relay /camera/rgb/image_rect_color /camera/rgb/image_raw

Here is the command to start recognition; we can use different pipelines to perform detection. The following command uses the tod pipeline. This will work well for textured objects.

$ rosrun object_recognition_core detection -c `rospack find object_recognition_tod`/conf/detection.ros.ork --visualize

Alternatively, we...