Book Image

Mastering ROS for Robotics Programming - Second Edition

By : Jonathan Cacace, Lentin Joseph
Book Image

Mastering ROS for Robotics Programming - Second Edition

By: Jonathan Cacace, Lentin Joseph

Overview of this book

In this day and age, robotics has been gaining a lot of traction in various industries where consistency and perfection matter. Automation is achieved via robotic applications and various platforms that support robotics. The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications. This book focuses on the most stable release of ROS (Kinetic Kame), discusses advanced concepts, and effectively teaches you programming using ROS. We begin with aninformative overview of the ROS framework, which will give you a clear idea of how ROS works. During the course of this book, you’ll learn to build models of complex robots, and simulate and interface the robot using the ROS MoveIt! motion planning library and ROS navigation stacks. Learn to leverage several ROS packages to embrace your robot models. After covering robot manipulation and navigation, you’ll get to grips with the interfacing I/O boards, sensors, and actuators of ROS. Vision sensors are a key component of robots, and an entire chapter is dedicated to the vision sensor and image elaboration, its interface in ROS and programming. You’ll also understand the hardware interface and simulation of complex robots to ROS and ROS Industrial. At the end of this book, you’ll discover the best practices to follow when programming using ROS.
Table of Contents (22 chapters)
Title Page
Copyright and Credits
www.PacktPub.com
Contributors
Preface
Index

Generating the IKFast CPP file for the IRB 6640 robot


After getting the link information, we can start to generate the inverse kinematic solver source file for handling the IK of this robot. All the files needed to follow the tutorial of this section are available in the source code folder, ikfast_demo, provided with this book. Alternatively, you can download this code by cloning the following Git repository:

$ git clone https://github.com/jocacace/ikfast_demo.git

Use the following command to generate the IK solver for the ABBIRB 6640 robot:

$ python `openrave-config --python-dir`/openravepy/_openravepy_/ikfast.py --robot=irb6640.dae --iktype=transform6d --baselink=1 --eelink=8 --savefile=ikfast61.cpp

The preceding command generates a CPP file called ikfast61.cpp , in which the IK type is transform6d, the position of the baselink is 1, and the end effector link is 8. We need to mention the robot DAE file as the robot argument.

Before using this code with MoveIt!, we can test it with the ikfastdemo...