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ROS Robotics Projects,

ROS Robotics Projects,

By : Ramkumar Gandhinathan
2.3 (3)
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ROS Robotics Projects,

ROS Robotics Projects,

2.3 (3)
By: Ramkumar Gandhinathan

Overview of this book

Nowadays, heavy industrial robots placed in workcells are being replaced by new age robots called cobots, which don't need workcells. They are used in manufacturing, retail, banks, energy, and healthcare, among other domains. One of the major reasons for this rapid growth in the robotics market is the introduction of an open source robotics framework called the Robot Operating System (ROS). This book covers projects in the latest ROS distribution, ROS Melodic Morenia with Ubuntu Bionic (18.04). Starting with the fundamentals, this updated edition of ROS Robotics Projects introduces you to ROS-2 and helps you understand how it is different from ROS-1. You'll be able to model and build an industrial mobile manipulator in ROS and simulate it in Gazebo 9. You'll then gain insights into handling complex robot applications using state machines and working with multiple robots at a time. This ROS book also introduces you to new and popular hardware such as Nvidia's Jetson Nano, Asus Tinker Board, and Beaglebone Black, and allows you to explore interfacing with ROS. You'll learn as you build interesting ROS projects such as self-driving cars, making use of deep learning, reinforcement learning, and other key AI concepts. By the end of the book, you'll have gained the confidence to build interesting and intricate projects with ROS.
Table of Contents (14 chapters)
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Getting started building mobile manipulators

By now, you know what mobile manipulators are, what they constitute, and where they are used. Let's get into building one in simulation. As you are very well aware by now, a mobile manipulator would need a good payload mobile robot base and a robot arm, so let's begin building our mobile manipulator in terms of its parts and then combine them. Let's also consider certain parameters and constraints for building and simulating one. To avoid complexities in robot types and to account for a simple and effective simulation, let's consider the following assumptions:

For a good payload mobile robot base, we want the following:

  • The robot may move on a flat or inclined flat surface but not an irregular surface.
  • The robot may be a differential drive robot with fixed steering wheels and all wheels driven.
  • The target payload...

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