Book Image

ROS Robotics By Example, Second Edition - Second Edition

By : Carol Fairchild, Lentin Joseph, Dr. Thomas L. Harman
Book Image

ROS Robotics By Example, Second Edition - Second Edition

By: Carol Fairchild, Lentin Joseph, Dr. Thomas L. Harman

Overview of this book

ROS is a robust robotics framework that works regardless of hardware architecture or hardware origin. It standardizes most layers of robotics functionality from device drivers to process control and message passing to software package management. But apart from just plain functionality, ROS is a great platform to learn about robotics itself and to simulate, as well as actually build, your first robots. This does not mean that ROS is a platform for students and other beginners; on the contrary, ROS is used all over the robotics industry to implement flying, walking and diving robots, yet implementation is always straightforward, and never dependent on the hardware itself. ROS Robotics has been the standard introduction to ROS for potential professionals and hobbyists alike since the original edition came out; the second edition adds a gradual introduction to all the goodness available with the Kinetic Kame release. By providing you with step-by-step examples including manipulator arms and flying robots, the authors introduce you to the new features. The book is intensely practical, with space given to theory only when absolutely necessary. By the end of this book, you will have hands-on experience on controlling robots with the best possible framework.
Table of Contents (18 chapters)
ROS Robotics By Example Second Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Summary


TurtleBot comes with its own 3D vision system that is a low-cost laser scanner. The Kinect, ASUS, PrimeSense, or RealSense devices can be mounted on the TurtleBot base and provide a 3D depth view of the environment. This chapter provided a comparison of these four types of sensors and identified the software that is needed to operate them as ROS components. We checked their operation by testing the sensor on TurtleBot in standalone mode. To use the devices, we can utilize Image Viewer or rviz to view image streams from the rgb or depth cameras.

For TurtleBot 3, the LDS sensor was described and ROS software and camera driver software was identified.

The primary objective is for TurtleBot to see its surroundings and be able to autonomously navigate through them. First, TurtleBot is driven around in teleoperation mode to create a map of the environment. The map provides the room boundaries and obstacles so that TurtleBot's navigation algorithm, amcl, can plan a path through the environment...