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

Summary


In this chapter, we explored some advanced features of MoveIt! and how we can 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 grasping, using the moveit_simple_grasp package. We saw the grasp generator using this package and we made a simple pick and place task using the grasp server and the pick and place node. 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...