Book Image

Mastering ROS for Robotics Programming

By : Lentin Joseph
Book Image

Mastering ROS for Robotics Programming

By: Lentin Joseph

Overview of this book

The area of robotics is gaining huge momentum among corporate people, researchers, hobbyists, and students. The major challenge in robotics is its controlling software. The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications. This book discusses the advanced concepts in robotics and how to program using ROS. It starts with 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. After discussing robot manipulation and navigation in robots, you will get to grips with the interfacing I/O boards, sensors, and actuators of ROS. One of the essential ingredients of robots are vision sensors, and an entire chapter is dedicated to the vision sensor, its interfacing in ROS, and its programming. You will discuss the hardware interfacing and simulation of complex robot to ROS and ROS Industrial (Package used for interfacing industrial robots). Finally, you will get to know the best practices to follow when programming using ROS.
Table of Contents (19 chapters)
Mastering ROS for Robotics Programming
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Working with perception using MoveIt! and Gazebo


Till now, in MoveIt!, we have worked with arm only. In this section, we will see how to interface a 3D vision sensor data to MoveIt!. The sensor can be either simulated using Gazebo or you can directly interface an RGB-D sensor such as Kinect or Xtion Pro using the openni_launch package. Here we will work using Gazebo simulation.

We will add sensors to MoveIt! for vision assisted pick and place. We will create a grasp table and a grasp object in gazebo for the pick and place operation. We will add two custom models called grasp_table and grasp_object. The sample models are located along with the chapter codes and it should copy to the ~/.gazebo/models folder for accessing the models from gazebo.

The following command will launch the robot arm and the Asus Xtion pro simulation in gazebo:

$ roslaunch seven_dof_arm_gazebo seven_dof_arm_bringup_grasping

This command will open up gazebo with arm joint controllers and gazebo plugin for 3D vision...