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

The pick and place task


In this section, we are going to explain how to perform a very common application or task with a manipulator robot. A pick and place task consists of picking up a target object, which includes grasping it, and placing it somewhere else. Here, we assume that the object is initially on top of a supporting surface that is flat or planar, such as a table, but it is easy to generalize it to more complex environments. As regards the object to grasp, we will consider a cylinder that is approximated by a box, because the gripper we are going to use to grasp is very simple; for more complex objects, you will need a better gripper or even a hand.

In the further sections, we will start by describing how to set up the planning scene that MoveIt! needs in order to identify the objects that are there, apart from the arm itself. These objects are considered during motion planning to avoid obstacles, and they can also be targets for picking up or grasping. In order to simplify the...