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Learning ROS for Robotics Programming Second Edition

Learning ROS for Robotics Programming Second Edition

By : Mahtani, Aaron Martinez
4 (8)
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Learning ROS for Robotics Programming Second Edition

Learning ROS for Robotics Programming Second Edition

4 (8)
By: Mahtani, Aaron Martinez

Overview of this book

If you have ever tried building a robot, then you know how cumbersome programming everything from scratch can be. This is where ROS comes into the picture. It is a collection of tools, libraries, and conventions that simplifies the robot building process. What’s more, ROS encourages collaborative robotics software development, allowing you to connect with experts in various fields to collaborate and build upon each other's work. Packed full of examples, this book will help you understand the ROS framework to help you build your own robot applications in a simulated environment and share your knowledge with the large community supporting ROS. Starting at an introductory level, this book is a comprehensive guide to the fascinating world of robotics, covering sensor integration, modeling, simulation, computer vision, navigation algorithms, and more. You will then go on to explore concepts like topics, messages, and nodes. Next, you will learn how to make your robot see with HD cameras, or navigate obstacles with range sensors. Furthermore, thanks to the contributions of the vast ROS community, your robot will be able to navigate autonomously, and even recognize and interact with you in a matter of minutes. What’s new in this updated edition? First and foremost, we are going to work with ROS Hydro this time around. You will learn how to create, visualize, and process Point Cloud information from different sensors. This edition will also show you how to control and plan motion of robotic arms with multiple joints using MoveIt! By the end of this book, you will have all the background you need to build your own robot and get started with ROS.
Table of Contents (12 chapters)
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11
Index

Summary

In this chapter, we have covered most of the aspects involved in integrating a robotic arm with MoveIt! and Gazebo, which gives us a realistic view of how a robotic arm could be used in a real-life environment. MoveIt! provides us with very simple and concise tools for motion planning on robotic arms using an Inverse Kinematics (IK) solver as well as ample documentation in order to facilitate this process, but given the complexity of the architecture, it can only be done properly once all of the different interactions between MoveIt!, the sensors, and the actuators in our robot have been properly understood.

We have glanced through the different high-level elements in the MoveIt! API, which would require an entire book of their own to be covered in detail. In an attempt to avoid the cost of understanding a full API to perform very simple actions, the approach taken in this book has been to limit ourselves to very simple motion planning and interacting with both artificially created...

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