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ROS Robotics Projects,

You're reading from   ROS Robotics Projects, Build and control robots powered by the Robot Operating System, machine learning, and virtual reality

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838649326
Length 456 pages
Edition 2nd Edition
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Author (1):
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Ramkumar Gandhinathan Ramkumar Gandhinathan
Author Profile Icon Ramkumar Gandhinathan
Ramkumar Gandhinathan
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with ROS FREE CHAPTER 2. Introduction to ROS-2 and Its Capabilities 3. Building an Industrial Mobile Manipulator 4. Handling Complex Robot Tasks Using State Machines 5. Building an Industrial Application 6. Multi-Robot Collaboration 7. ROS on Embedded Platforms and Their Control 8. Reinforcement Learning and Robotics 9. Deep Learning Using ROS and TensorFlow 10. Creating a Self-Driving Car Using ROS 11. Teleoperating Robots Using a VR Headset and Leap Motion 12. Face Detection and Tracking Using ROS, OpenCV, and Dynamixel Servos 13. Other Books You May Enjoy

Improvements to the robot

When working with robots, it can sometimes be hectic and tedious to get them to work just the way we want them to. Let's look into some improvements that we could consider to make our application successful enough in certain aspects:

  • Use of a high-end CPU- or GPU-based compute: The preceding application should work just fine in general. But since robot algorithms are mostly based on probabilistic approaches, most of the solutions are assumption-based. Hence, there are possibilities for errors or the application to not work as expected. At times, if you have a lower-spec computer, there are chances that Gazebo might crash and might cause you trouble when you view the complete application.
  • Tuning the navigation stack for better localization: There are some best practices that can help us tune certain parameters in the algorithm. This helps us get...
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