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

Summary


In this chapter, we explored some advanced features of MoveIt!, and how to interface it into a real hardware. The chapter started with a discussion on collision checking using MoveIt!. We saw how to add a collision object using MoveIt! APIs, and also saw the direct importing of mesh to the planning scene. We discussed a ROS node to check collision using MoveIt! APIs. After learning about collisions, we moved to perception using MoveIt!. We connected the simulated point cloud data to MoveIt! and created an OctoMap in MoveIt!. The next topic we discussed was how to perform pick and place actions to manipulate objects in the scene. We presented a ROS package to autonomously generate grasping poses starting from object point clouds. After discussing these things, we switched to hardware interfacing of MoveIt! using dynamixel servos and its ROS controllers. In the end, we saw a real robotic arm called COOL arm and its interfacing to MoveIt!, which was completely built using DYNAMIXEL...