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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 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos FREE CHAPTER 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

Mathematical model of a differential drive robot


As you may know, robot kinematics is the study of motion without considering the forces that affect the motion, and robot dynamics is the study of the forces acting on a robot. In this section, we will discuss the kinematics of a differential robot.

Typically, a mobile robot or vehicle can have six degrees of freedom (DOF), which are represented as x, y, z, roll, pitch, and yaw. The x, y, and z degrees are translation, and roll, pitch, and yaw are rotation values. The roll movement of robot is sideways rotation, pitch is forward and backward rotation, and yaw is the heading and orientation of the robot. A differential robot moves along a 2D plane, so we can say it will have only three DOF, such as x, y, and theta, where theta is the heading of the robot and points along the forward direction of the robot.

The following figure shows the coordinate system of a differential-drive robot:

Figure 8: The coordinate system representation of a differential...

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