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ROS Robotics Projects

You're reading from   ROS Robotics Projects Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781783554713
Length 452 pages
Edition 1st Edition
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Author (1):
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Lentin Joseph Lentin Joseph
Author Profile Icon Lentin Joseph
Lentin Joseph
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with ROS Robotics Application Development FREE CHAPTER 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos 3. Building a Siri-Like Chatbot in ROS 4. Controlling Embedded Boards Using ROS 5. Teleoperate a Robot Using Hand Gestures 6. Object Detection and Recognition 7. Deep Learning Using ROS and TensorFlow 8. ROS on MATLAB and Android 9. Building an Autonomous Mobile Robot 10. Creating a Self-Driving Car Using ROS 11. Teleoperating a Robot Using a VR Headset and Leap Motion 12. Controlling Your Robots over the Web

Simulating the robot model in Gazebo


After modeling the robot, the next stage that we have to do is simulation. The simulation is mainly for mimicking the behavior of designed robot. For the simulation, normally we are putting ideal parameters to the simulated model. When we do the actual robot, there can be some changes from the simulated parameters. We can simulate the robot using Gazebo. Before simulating the robot, it will be good if you understand the mathematical model of a differential robot. The mathematical representation will give you more insight about the working of robot. We are not going to implement the robot controllers from scratch. Instead of that, we are using existing one.

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