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Mastering ROS for Robotics Programming, Third edition

You're reading from   Mastering ROS for Robotics Programming, Third edition Best practices and troubleshooting solutions when working with ROS

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801071024
Length 594 pages
Edition 3rd Edition
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Authors (2):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
Jonathan Cacace Jonathan Cacace
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Jonathan Cacace
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Table of Contents (22) Chapters Close

Preface 1. Section 1 – ROS Programming Essentials
2. Chapter 1: Introduction to ROS FREE CHAPTER 3. Chapter 2: Getting Started with ROS Programming 4. Section 2 – ROS Robot Simulation
5. Chapter 3: Working with ROS for 3D Modeling 6. Chapter 4: Simulating Robots Using ROS and Gazebo 7. Chapter 5: Simulating Robots Using ROS, CoppeliaSim, and Webots 8. Chapter 6: Using the ROS MoveIt! and Navigation Stack 9. Chapter 7: Exploring the Advanced Capabilities of ROS MoveIt! 10. Chapter 8: ROS for Aerial Robots 11. Section 3 – ROS Robot Hardware Prototyping
12. Chapter 9: Interfacing I/O Board Sensors and Actuators to ROS 13. Chapter 10: Programming Vision Sensors Using ROS, OpenCV, and PCL 14. Chapter 11: Building and Interfacing Differential Drive Mobile Robot Hardware in ROS 15. Section 4 – Advanced ROS Programming
16. Chapter 12: Working with pluginlib, nodelets, and Gazebo Plugins 17. Chapter 13: Writing ROS Controllers and Visualization Plugins 18. Chapter 14: Using ROS in MATLAB and Simulink 19. Chapter 15: ROS for Industrial Robots 20. Chapter 16: Troubleshooting and Best Practices in ROS 21. Other Books You May Enjoy

The OpenRave and IKFast modules

OpenRave is a set of command lines and GUI tools for developing, testing, and deploying motion planning algorithms in real-world applications. One of the OpenRave modules is IKFast, which is a robot kinematics compiler. OpenRave was created by a robotic researcher called Rosen Diankov. The IKFast compiler analytically solves the inverse kinematics of a robot and generates optimized and independent C++ files, which can be deployed in our code for solving IK. The IKFast compiler generates analytic solutions of IK, which is much faster than numerical solutions provided by KDL. The IKFast compiler can handle any number of DOFs, but practically it is well suited for DOF <= 6. IKFast is a Python script that takes arguments such as IK types, robot model, the joint position of the base link, and end effectors.

The following are the main IK types supported by IKFast:

  • Transform 6D: This end effector should calculate the commanded 6D transformation...
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