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

Working with robot pick and place task using MoveIt!


We can do pick and place in various ways. One is by using pre defined sequences of joint values; in this case, we put the object in a predefined position and move the robot into that position by providing direct joint values or forward kinematics. Another method of pick and place is by using inverse kinematics without any visual feedback; in this case, we command the robot to go to an X,Y, and Z position with respect to the robot, and by solving IK, the robot can reach that position and pickup that object. One more method is vision assisted pick and place; in this case, a vision sensor is used to identify the object's position and the arm goes to that location by solving IK and picks the object.

In this section, we will demonstrate a pick and place in which we will give the grasping object position and the robot will move to that coordinate and pick the object. It can be tied up with vision in such a way that we need to tell the object...